Triple

T18488366
Position Surface form Disambiguated ID Type / Status
Subject Warren Edward Armstrong E451748 entity
Predicate league P888 FINISHED
Object ABA NE NERFINISHED

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: ABA | Statement: [Warren Edward Armstrong, league, ABA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABA
Context triple: [Warren Edward Armstrong, league, ABA]
  • A. ABA chosen
    The ABA (American Basketball Association) was a professional basketball league that operated in the United States from 1967 to 1976 and later merged with the NBA, known for its flashy style, three-point line, and red-white-and-blue basketball.
  • B. ABA
    ABA is the commonly used acronym for the American Bar Association, the national professional organization for lawyers and the legal profession in the United States.
  • C. ABA
    ABA is the National Rail station code for Aberdare railway station in Wales, United Kingdom.
  • D. ABA
    ABA is the acronym for the Association for Black Anthropologists, a professional organization dedicated to advancing the interests, scholarship, and visibility of Black anthropologists and Black communities.
  • E. ABA
    ABA is the commonly used acronym for the American Booksellers Association, a trade organization representing independent bookstores in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d8bac4819099306abbf78b9565 completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.