Triple

T21852460
Position Surface form Disambiguated ID Type / Status
Subject Red Line trunk E539537 entity
Predicate hasStation P35 FINISHED
Object Davis 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: Davis | Statement: [Red Line trunk, hasStation, Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davis
Context triple: [Red Line trunk, hasStation, Davis]
  • A. Davis chosen
    Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • B. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • C. Davis
    Davis is a common English-language surname of Scottish and Welsh origin, often meaning "son of David."
  • D. Davis
    Davis is a Chicago Transit Authority 'L' station on the Purple Line serving downtown Evanston, Illinois.
  • E. Davis
    Davis is a small Northern California city known for hosting the University of California, Davis and for its strong emphasis on education, agriculture, and bicycle-friendly urban planning.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0bd59bcbc819093829feb152e090d completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:56 p.m.