Triple

T12069187
Position Surface form Disambiguated ID Type / Status
Subject Harris Interactive Poll E287376 entity
Predicate componentOf P35 FINISHED
Object BCS formula E57402 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: BCS formula | Statement: [Harris Interactive Poll, componentOf, BCS formula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BCS formula
Context triple: [Harris Interactive Poll, componentOf, BCS formula]
  • A. BCS chosen
    BCS is the abbreviation for the Bowl Championship Series, the former system used to determine matchups and the national champion in top-tier U.S. college football.
  • B. BCS
    BCS is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • C. BCS
    BCS is the National Rail station code for Bicester North railway station in Oxfordshire, England.
  • D. BCS
    BCS is the commonly used acronym for Berkeley County Schools, a public school district serving students in Berkeley County.
  • E. BCS
    BCS is the abbreviation for the Boundary Commission for Scotland, the independent body responsible for reviewing and recommending changes to parliamentary constituency boundaries in Scotland.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90457fd488190b311ed69d2aebdf9 completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f65af0e88190ad32adb9ff76b01b completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.