Triple

T18438489
Position Surface form Disambiguated ID Type / Status
Subject Leo Klier E450458 entity
Predicate draftLeague P2643 FINISHED
Object BAA 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: BAA | Statement: [Leo Klier, draftLeague, BAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAA
Context triple: [Leo Klier, draftLeague, BAA]
  • A. BAA chosen
    BAA is the acronym for the Basketball Association of America, the professional basketball league that later merged to form today’s National Basketball Association (NBA).
  • B. BAA
    BAA (formerly British Airports Authority) was a major UK airport operator that once managed several of the country’s largest airports, including Heathrow, Gatwick, and Stansted.
  • C. BAAS
    BAAS is the acronym commonly used for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • D. BBN
    BBN is the early-universe process that produced the lightest elements—mainly hydrogen, helium, and small amounts of lithium—within the first few minutes after the Big Bang.
  • E. BBN
    BBN is the National Rail station code for Blackburn railway station in Lancashire, England.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0ed6708190ae90efd8455ec352 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.