Triple

T16976801
Position Surface form Disambiguated ID Type / Status
Subject Monticello station E411832 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Chrysler Hall E90280 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: Chrysler Hall | Statement: [Monticello station, hasNearbyAttraction, Chrysler Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chrysler Hall
Context triple: [Monticello station, hasNearbyAttraction, Chrysler Hall]
  • A. Chrysler Hall chosen
    Chrysler Hall is a major performing arts and entertainment venue located in downtown Norfolk, Virginia.
  • B. Withers-Brown Hall
    Withers-Brown Hall is a primary academic and administrative building that houses classrooms, offices, and other core facilities for the University of Virginia School of Law.
  • C. Pollack Hall
    Pollack Hall is a prominent concert and performance venue associated with McGill University's Schulich School of Music in Montreal, Canada.
  • D. Kaufman Hall
    Kaufman Hall is an academic building on the campus of Old Dominion University in Norfolk, Virginia, housing classrooms, offices, and related university facilities.
  • E. Tanenbaum Hall
    Tanenbaum Hall is a primary academic and administrative building of the University of Pennsylvania Carey Law School, housing classrooms, offices, and legal research facilities.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d183ff648190a3cb47242bf7e6ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.