Triple

T1620079
Position Surface form Disambiguated ID Type / Status
Subject MBTA bus route 57 E35009 entity
Predicate isKeyCorridorFor P10082 FINISHED
Object Watertown E17052 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: Watertown | Statement: [MBTA bus route 57, isKeyCorridorFor, Watertown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watertown
Context triple: [MBTA bus route 57, isKeyCorridorFor, Watertown]
  • A. Watertown
    Watertown is a principal city in northeastern South Dakota known as a regional commercial center and home to Lake Kampeska and the Redlin Art Center.
  • B. Watertown, Massachusetts chosen
    Watertown, Massachusetts is a historic suburban city just west of Boston, known for its early industrial development and significant Armenian-American community.
  • C. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • D. Lowell
    Lowell is a surname most prominently associated with former Major League Baseball third baseman and World Series MVP Mike Lowell.
  • E. Pittsfield
    Pittsfield is a small town located within Otsego County in the central region of New York State.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909b0738c8190b073e0ccec5e217d completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4aca16a10819097bb8655c8c1a36d completed April 19, 2026, 10:21 a.m.
Created at: March 4, 2026, 7:28 p.m.