Triple

T10826448
Position Surface form Disambiguated ID Type / Status
Subject Mono project E255508 entity
Predicate implementsStandard P1587 FINISHED
Object ECMA-334 E34645 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: ECMA-334 | Statement: [Mono project, implementsStandard, ECMA-334]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECMA-334
Context triple: [Mono project, implementsStandard, ECMA-334]
  • A. ECMA-334 chosen
    ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
  • B. ECMA-340
    ECMA-340 is an international standard that specifies the Near Field Communication (NFC) interface and protocol for short-range wireless communication between electronic devices.
  • C. ECMA-372
    ECMA-372 is the ECMA standard that defines the C++/CLI language specification for managed extensions of C++ targeting the .NET runtime.
  • D. ECMA-367
    ECMA-367 is the official international standard that defines the syntax and semantics of the Eiffel programming language.
  • E. Ecma TC45
    Ecma TC45 is the Ecma International technical committee responsible for standardizing and evolving the Office Open XML document formats.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d1c24881909f56d56207cccbef completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:19 p.m.