Triple

T9068628
Position Surface form Disambiguated ID Type / Status
Subject ISWC E217306 entity
Predicate definedIn P775 FINISHED
Object ISO 15707 E776045 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 15707 | Statement: [ISWC, definedIn, ISO 15707]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 15707
Context triple: [ISWC, definedIn, ISO 15707]
  • A. ISO 15707 chosen
    ISO 15707 is an international standard that defines the International Standard Musical Work Code (ISWC) system for uniquely identifying musical works.
  • B. ISO 15706
    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.
  • C. 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.
  • D. ISO 10957
    ISO 10957 is the international standard that defines the International Standard Music Number (ISMN) system used to uniquely identify printed music publications worldwide.
  • E. ISO 15930
    ISO 15930 is an international standard that defines the PDF/X family of specifications for reliable, press-ready digital file exchange in the graphic arts and printing industries.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ba250819085fa49e0059d06c1 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017a3926881909140f59c60ec3588 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:11 p.m.