Triple

T15403147
Position Surface form Disambiguated ID Type / Status
Subject Warren Street (Boston) E368376 entity
Predicate hasName P744 FINISHED
Object Warren Street NE NERFINISHED

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: Warren Street | Statement: [Warren Street (Boston), hasName, Warren Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Street
Context triple: [Warren Street (Boston), hasName, Warren Street]
  • A. Warren Street
    Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
  • B. Warren Street chosen
    Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
  • C. Warren Street
    Warren Street is a London Underground station in central London served by the Northern and Victoria lines.
  • D. Warren Street
    Warren Street is a street in Newark, New Jersey, located near the New Jersey Institute of Technology (NJIT) campus and served by the Warren Street/NJIT light rail station.
  • E. Pottinger Street
    Pottinger Street is a historic, steeply stepped street in Hong Kong’s Central District, known for its stone slab pavement and traditional market stalls.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
Created at: April 10, 2026, 3:19 a.m.