Triple

T15235662
Position Surface form Disambiguated ID Type / Status
Subject American Library Association E364120 entity
Predicate abbreviation P43 FINISHED
Object ALA E364120 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: ALA | Statement: [American Library Association, abbreviation, ALA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALA
Context triple: [American Library Association, abbreviation, ALA]
  • A. ALA
    ALA is the IATA airport code for Almaty International Airport, the main air gateway to Almaty, Kazakhstan.
  • B. ALA
    ALA is the three-letter ISO 3166-1 country code assigned to the autonomous Åland Islands region of Finland.
  • C. ALA chosen
    ALA is the leading professional organization in the United States dedicated to supporting libraries, librarians, and information services.
  • D. ALA
    ALA is the stock ticker symbol for Alcatel Alsthom, a former French telecommunications and electronics conglomerate.
  • E. S.D.Ala.
    S.D.Ala. is the standard legal abbreviation for the United States District Court for the Southern District of Alabama, a federal trial court within the Eleventh Circuit.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d91e4881908ea52d11a3d4480a completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.