Triple

T15957941
Position Surface form Disambiguated ID Type / Status
Subject Paris Principles E386982 entity
Predicate influenced P9 FINISHED
Object AACR2 E27527 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: AACR2 | Statement: [Paris Principles, influenced, AACR2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AACR2
Context triple: [Paris Principles, influenced, AACR2]
  • A. AACR2 chosen
    AACR2 (Anglo-American Cataloguing Rules, Second Edition) is a widely used library cataloging standard that provides rules for describing and accessing library materials in online and card catalogs.
  • B. AACR1
    AACR1 is the first edition of the Anglo-American Cataloguing Rules, a foundational standard that guided the description and access points of library materials in English-speaking countries.
  • C. AIACR
    AIACR was the pre-World War II international governing body for automobile racing that coordinated and regulated major European Grand Prix competitions.
  • D. ACR
    ACR is the commonly used abbreviation for the Armed Forces of the Czech Republic, encompassing the country's army, air force, and support units.
  • E. ACR
    ACR is a leading professional medical society in the United States that advances the practice and quality standards of radiology and medical imaging.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fd7ce08190b5db4b486ccb6e40 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.