Triple
T7895872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECMA-335 |
E183341
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | ISO/IEC 23271 |
E183348
|
NE FINISHED |
How this triple was built (2 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: ISO/IEC 23271 | Statement: [ECMA-335, relatedTo, ISO/IEC 23271]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO/IEC 23271 Context triple: [ECMA-335, relatedTo, ISO/IEC 23271]
-
A.
ISO/IEC 23271
chosen
ISO/IEC 23271 is the international standard that defines the Common Language Infrastructure (CLI), the core runtime and execution environment underlying technologies like Microsoft .NET.
-
B.
ISO/IEC 23273
ISO/IEC 23273 is an international standard that specifies safety requirements for hydrogen-fueled road vehicles, particularly focusing on fuel cell vehicle safety.
-
C.
ISO/IEC 23270
ISO/IEC 23270 is the international standard that formally defines the C# programming language specification.
-
D.
ISO/IEC 14652
ISO/IEC 14652 is an international standard that defines guidelines and formats for locale data, including cultural conventions such as date, time, number, and currency representations in computing systems.
-
E.
ISO/IEC 14651
ISO/IEC 14651 is an international standard that defines a universal method for ordering and comparing text strings (collation) across different languages and scripts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a174574819084270dbb6fcbb7fe |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bae4bdc8190be7db2ba3acb708a |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.