Triple

T7208148
Position Surface form Disambiguated ID Type / Status
Subject Ordre des Arts et des Lettres E148726 entity
Predicate abbreviation P43 FINISHED
Object OAL E148726 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: OAL | Statement: [Ordre des Arts et des Lettres, abbreviation, OAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OAL
Context triple: [Ordre des Arts et des Lettres, abbreviation, OAL]
  • A. OAL chosen
    OAL is the abbreviation for the Ordre des Arts et des Lettres, a French order of merit that honors significant contributions to the arts and literature.
  • B. OAL
    OAL is the California Office of Administrative Law, the state agency responsible for reviewing and approving regulations proposed by California’s executive branch agencies.
  • C. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • D. AUL
    AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
  • E. OLA
    OLA is the commonly used acronym for the United Nations Office of Legal Affairs, which provides legal advice and support to UN organs and specialized agencies.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96ae4dc8190b0b9e064ff968c10 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc4e6688190ad9e0d31505e65af completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:52 p.m.