Triple

T2922802
Position Surface form Disambiguated ID Type / Status
Subject Grove Street Cemetery E78769 entity
Predicate hasEntranceOn P1974 FINISHED
Object Grove Street E525513 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: Grove Street | Statement: [Grove Street Cemetery, hasEntranceOn, Grove Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grove Street
Context triple: [Grove Street Cemetery, hasEntranceOn, Grove Street]
  • A. Grove Street
    Grove Street is a central pedestrian shopping street in Wilmslow, England, known for its mix of retail stores, cafés, and local businesses.
  • B. 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.
  • C. Grove Street chosen
    Grove Street is a historic thoroughfare in New Haven, Connecticut, known for bordering the landmark Grove Street Cemetery and Yale University.
  • D. Phipps Street
    Phipps Street is a street in the Charlestown neighborhood of Boston, Massachusetts, historically associated with the adjacent Phipps Street Burying Ground.
  • E. Church Street
    Church Street is a major thoroughfare in Pretoria, South Africa, historically significant as one of the city’s central and longest streets.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97bd65ac81909a05ea2bade113d0 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf95285fc08190b6dcae44270f486f completed March 22, 2026, 7:07 a.m.
Created at: March 8, 2026, 2:54 p.m.