Triple

T4122284
Position Surface form Disambiguated ID Type / Status
Subject New Haven City Hall E92640 entity
Predicate locatedOn P40 FINISHED
Object Church Street E203186 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: Church Street | Statement: [New Haven City Hall, locatedOn, Church Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Church Street
Context triple: [New Haven City Hall, locatedOn, Church Street]
  • A. Church Street chosen
    Church Street is a major thoroughfare in downtown New Haven, Connecticut, known for bordering the historic New Haven Green and hosting civic and commercial buildings.
  • B. Church Street
    Church Street is a major thoroughfare in Pretoria, South Africa, historically significant as one of the city’s central and longest streets.
  • C. Grove Street
    Grove Street is a residential street in San Francisco, California, known for its proximity to the picturesque Steiner Street and its classic city architecture.
  • D. Grove Street
    Grove Street is a historic thoroughfare in New Haven, Connecticut, known for bordering the landmark Grove Street Cemetery and Yale University.
  • E. Grove Street
    Grove Street is a PATH rapid transit station in Jersey City, New Jersey, serving as a key stop connecting commuters between New Jersey and Lower Manhattan.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af020549dc8190a81a5dbbf70288c7 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c972177054819083dc93ad7f109b49 completed March 29, 2026, 6:40 p.m.
Created at: March 9, 2026, 3:41 p.m.