Triple

T13275855
Position Surface form Disambiguated ID Type / Status
Subject ISO 259 E316186 entity
Predicate relatedTo P37 FINISHED
Object ISO 259-3 E1034505 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 259-3 | Statement: [ISO 259, relatedTo, ISO 259-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 259-3
Context triple: [ISO 259, relatedTo, ISO 259-3]
  • A. ISO 259-3 chosen
    ISO 259-3 is a part of the ISO 259 standard that specifies a system for the transliteration of Hebrew characters into Latin script.
  • B. ISO 3297
    ISO 3297 is the international standard that defines the structure, assignment, and use of the International Standard Serial Number (ISSN) for identifying serial publications.
  • C. ISO 3901
    ISO 3901 is an international standard that defines the International Standard Recording Code (ISRC), a unique identifier for sound and music video recordings.
  • D. ISO 843
    ISO 843 is the international standard that defines how to systematically transliterate Modern Greek characters into Latin script.
  • E. ISO 7098
    ISO 7098 is an international standard that specifies the rules for the romanization of Chinese characters using the Hanyu Pinyin system.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f739760f748190ace82b1f3c8ce204 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:26 p.m.