Triple

T5240079
Position Surface form Disambiguated ID Type / Status
Subject St. Lawrence E118317 entity
Predicate hasLandmark P105 FINISHED
Object St. Lawrence Hall E57687 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: St. Lawrence Hall | Statement: [St. Lawrence, hasLandmark, St. Lawrence Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St. Lawrence Hall
Context triple: [St. Lawrence, hasLandmark, St. Lawrence Hall]
  • A. St. Lawrence Hall chosen
    St. Lawrence Hall is a historic 19th-century public meeting hall and event venue in downtown Toronto, renowned for its classical architecture and role in the city’s civic and cultural life.
  • B. McMaster Hall
    McMaster Hall was the original name of McMaster University, a Canadian institution of higher education and research based in Hamilton, Ontario.
  • C. Tanna Schulich Hall
    Tanna Schulich Hall is a performance and rehearsal venue associated with McGill University’s Schulich School of Music in Montreal, Canada.
  • D. Lakeshore Hall
    Lakeshore Hall is a popular events and function venue located in Taguig, Metro Manila, often used for weddings, corporate gatherings, and social celebrations.
  • E. McLaughlin Hall
    McLaughlin Hall is a key academic and administrative building within UC Berkeley’s College of Engineering, housing classrooms, offices, and 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2a52fc8190a22631e1853c74a3 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8278cb88190aa1e0a42d2f8fe8d completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.