Triple

T20301909
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (MBTA) E505501 entity
Predicate servesNeighborhood P82 FINISHED
Object Revere 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: Revere | Statement: [Blue Line (MBTA), servesNeighborhood, Revere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revere
Context triple: [Blue Line (MBTA), servesNeighborhood, Revere]
  • A. Revere
    Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
  • B. Revere, Massachusetts chosen
    Revere, Massachusetts is a coastal city just north of Boston known for Revere Beach, the oldest public beach in the United States.
  • C. Charlestown
    Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
  • D. Charlestown
    Charlestown is a small town located within the Newcastle Local Municipality in the KwaZulu-Natal province of South Africa.
  • E. Charlestown
    Charlestown is an electoral district in the New South Wales Legislative Assembly, representing part of the Newcastle region in Australia.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770d82b48190b21ce7c52ec6d5a0 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:17 a.m.