Triple
T1612571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC |
E34644
|
entity |
| Predicate | standardSeries |
P23871
|
FINISHED |
| Object | ISO/IEC 23270 |
E34646
|
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 23270 | Statement: [ISO/IEC, standardSeries, ISO/IEC 23270]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO/IEC 23270 Context triple: [ISO/IEC, standardSeries, ISO/IEC 23270]
-
A.
ISO/IEC 23270
chosen
ISO/IEC 23270 is the international standard that formally defines the C# programming language specification.
-
B.
ISO/IEC 23271
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.
-
C.
ISO/IEC 8652
ISO/IEC 8652 is the international standard that formally defines the Ada programming language, including its syntax, semantics, and core features.
-
D.
ISO/IEC 19757-3
ISO/IEC 19757-3 is an international standard that defines Schematron, a rule-based schema language for validating the structure and content of XML documents.
-
E.
ISO/IEC 10514
ISO/IEC 10514 is the international standard that formally defines the syntax and semantics of the Modula-2 programming language.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61df32a88190a7e823a77bdcc84a |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60903f94819095dc90d6ce959017 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.