Triple

T16747876
Position Surface form Disambiguated ID Type / Status
Subject ISO 15706 E407001 entity
Predicate relatedTo P37 FINISHED
Object ISO 15706-2 E407001 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 15706-2 | Statement: [ISO 15706, relatedTo, ISO 15706-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 15706-2
Context triple: [ISO 15706, relatedTo, ISO 15706-2]
  • A. ISO 15706 chosen
    ISO 15706 is an international standard that defines the International Standard Audiovisual Number (ISAN) system for the unique identification of audiovisual works and related versions.
  • B. ISO 15707
    ISO 15707 is an international standard that defines the International Standard Musical Work Code (ISWC) system for uniquely identifying musical works.
  • C. ISO/IEC 15897
    ISO/IEC 15897 is an international standard that specifies procedures for registering and maintaining cultural conventions such as locale data and character sets used in information technology.
  • D. ISO 15740
    ISO 15740 is the international standard that defines the Picture Transfer Protocol (PTP) used for transferring images and related data between digital cameras and other devices.
  • E. 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.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2439848190a86a5bfc0702e2fe completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a522255c8190ab16d7ad233fcd3b completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.