Triple

T11696943
Position Surface form Disambiguated ID Type / Status
Subject MBTA Green Line A branch E278019 entity
Predicate terminus P388 FINISHED
Object Watertown 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: Watertown | Statement: [MBTA Green Line A branch, terminus, Watertown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watertown
Context triple: [MBTA Green Line A branch, terminus, 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. City of Watertown
    The City of Watertown is the municipal government authority responsible for providing local services and governance to the community of Watertown, Minnesota.
  • D. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • E. Lowell
    Lowell is a surname most prominently associated with former Major League Baseball third baseman and World Series MVP Mike Lowell.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47cef60819088b7cc3a3a711e4c completed April 10, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:40 p.m.