Triple

T2438334
Position Surface form Disambiguated ID Type / Status
Subject Church Street Historic District E53214 entity
Predicate namedAfter P63 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: [Church Street Historic District, namedAfter, Church Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Church Street
Context triple: [Church Street Historic District, namedAfter, 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 central pedestrian shopping street in Wilmslow, England, known for its mix of retail stores, cafés, and local businesses.
  • D. 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.
  • E. Church Avenue
    Church Avenue is a New York City Subway station in Brooklyn that serves as the southern terminal for the G train.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f4d2dc8190b3c264a6c20d1bd5 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69bea45464fc8190933e1347d23eb99b completed March 21, 2026, 1:59 p.m.
Created at: March 6, 2026, 9:43 p.m.