Triple
T10330365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 10744 |
E242856
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
Information technology — Hypermedia/Time-based Structuring Language (HyTime)
Information technology — Hypermedia/Time-based Structuring Language (HyTime) is an ISO/IEC standard that defines a framework for representing and linking time-based and hypermedia structures in SGML-based documents.
|
E856276
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Information technology — Hypermedia/Time-based Structuring Language (HyTime) | Statement: [ISO/IEC 10744, hasTitle, Information technology — Hypermedia/Time-based Structuring Language (HyTime)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Information technology — Hypermedia/Time-based Structuring Language (HyTime) Context triple: [ISO/IEC 10744, hasTitle, Information technology — Hypermedia/Time-based Structuring Language (HyTime)]
-
A.
HAL (Hypertext Application Language)
HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
-
B.
InterPress page description language at Xerox PARC
InterPress page description language at Xerox PARC was an early device-independent page description system developed at Xerox PARC that laid foundational concepts later used in Adobe’s PostScript.
-
C.
Xanadu hypertext system
The Xanadu hypertext system is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, bidirectionally linked, non-destructive document publishing and versioning system.
-
D.
Web Hypertext Application Technology Working Group
The Web Hypertext Application Technology Working Group (WHATWG) is a community of browser vendors, web developers, and other stakeholders that collaboratively develops and maintains key web standards, including the HTML Living Standard.
-
E.
Object Linking and Embedding
Object Linking and Embedding (OLE) is a Microsoft technology that enables embedding and linking to documents and other objects across different applications within the Windows environment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Information technology — Hypermedia/Time-based Structuring Language (HyTime) Triple: [ISO/IEC 10744, hasTitle, Information technology — Hypermedia/Time-based Structuring Language (HyTime)]
Generated description
Information technology — Hypermedia/Time-based Structuring Language (HyTime) is an ISO/IEC standard that defines a framework for representing and linking time-based and hypermedia structures in SGML-based documents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Information technology — Hypermedia/Time-based Structuring Language (HyTime) Target entity description: Information technology — Hypermedia/Time-based Structuring Language (HyTime) is an ISO/IEC standard that defines a framework for representing and linking time-based and hypermedia structures in SGML-based documents.
-
A.
HAL (Hypertext Application Language)
HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
-
B.
InterPress page description language at Xerox PARC
InterPress page description language at Xerox PARC was an early device-independent page description system developed at Xerox PARC that laid foundational concepts later used in Adobe’s PostScript.
-
C.
Xanadu hypertext system
The Xanadu hypertext system is an early, visionary hypertext project conceived by Ted Nelson that aimed to create a universal, bidirectionally linked, non-destructive document publishing and versioning system.
-
D.
Web Hypertext Application Technology Working Group
The Web Hypertext Application Technology Working Group (WHATWG) is a community of browser vendors, web developers, and other stakeholders that collaboratively develops and maintains key web standards, including the HTML Living Standard.
-
E.
Object Linking and Embedding
Object Linking and Embedding (OLE) is a Microsoft technology that enables embedding and linking to documents and other objects across different applications within the Windows environment.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71dbc7df48190b8a11a92f946fd30 |
completed | April 9, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69d73189d7cc8190b81bb30994b3900f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329891688190b5c1ec5906728f01 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:52 a.m.