Triple
T265063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C# |
E5704
|
entity |
| Predicate | hasStandard |
P1371
|
FINISHED |
| Object |
ECMA-334
ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
|
E34645
|
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: ECMA-334 | Statement: [C#, hasStandard, ECMA-334]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECMA-334 Context triple: [C#, hasStandard, ECMA-334]
-
A.
ECMAScript
ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
-
B.
ECMA International
ECMA International is a standards organization best known for maintaining the ECMAScript specification that underpins the JavaScript programming language.
-
C.
SpiderMonkey
SpiderMonkey is Mozilla's open-source JavaScript engine, written in C/C++ and used primarily in the Firefox web browser.
-
D.
IEEE 1532
IEEE 1532 is an extension of the JTAG boundary-scan standard that defines in-system programming and configuration procedures for programmable devices such as FPGAs and CPLDs.
-
E.
Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
- 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: ECMA-334 Triple: [C#, hasStandard, ECMA-334]
Generated description
ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ECMA-334 Target entity description: ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
-
A.
ECMAScript
ECMAScript is the official scripting language specification that defines the core features and behavior implemented by JavaScript and related languages.
-
B.
ECMA International
ECMA International is a standards organization best known for maintaining the ECMAScript specification that underpins the JavaScript programming language.
-
C.
SpiderMonkey
SpiderMonkey is Mozilla's open-source JavaScript engine, written in C/C++ and used primarily in the Firefox web browser.
-
D.
IEEE 1532
IEEE 1532 is an extension of the JTAG boundary-scan standard that defines in-system programming and configuration procedures for programmable devices such as FPGAs and CPLDs.
-
E.
Unicode Technical Standard #10
Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8f9bbc8190a13841e4de093a66 |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a389ae45648190966804664bf4f861 |
completed | March 1, 2026, 12:34 a.m. |
| NEDg | Description generation | batch_69a38a9adf4481909300cfa1fb3129cc |
completed | March 1, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a38aef72808190953043b9c480fada |
completed | March 1, 2026, 12:40 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.