Triple

T18770599
Position Surface form Disambiguated ID Type / Status
Subject ECMA standard E459007 entity
Predicate hasExample P1259 FINISHED
Object ECMA-404 NE NERFINISHED

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-404 | Statement: [ECMA standard, hasExample, ECMA-404]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECMA-404
Context triple: [ECMA standard, hasExample, ECMA-404]
  • A. ECMA-404 chosen
    ECMA-404 is the ECMA International standard that formally defines the JSON (JavaScript Object Notation) data interchange format.
  • B. ECMA-119
    ECMA-119 is an ECMA standard that defines the file system format for CD-ROMs, serving as the basis for the ISO 9660 standard.
  • C. Ecma TC45
    Ecma TC45 is the Ecma International technical committee responsible for standardizing and evolving the Office Open XML document formats.
  • D. 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.
  • E. ECMA-372
    ECMA-372 is the ECMA standard that defines the C++/CLI language specification for managed extensions of C++ targeting the .NET runtime.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59335a01881908731371be1e27a6b completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.