Triple

T2063524
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (MBTA) E45844 entity
Predicate station P726 FINISHED
Object State E136224 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: State | Statement: [Blue Line (MBTA), station, State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State
Context triple: [Blue Line (MBTA), station, State]
  • A. State chosen
    State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
  • B. State
    State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
  • C. STATE
    STATE is the commonly used abbreviation for the United States Department of State, the federal executive department responsible for U.S. foreign policy and international relations.
  • D. Province I
    Province I is an administrative ecclesiastical region of The Episcopal Church in the United States, encompassing several dioceses in the New England area.
  • E. Mon State
    Mon State is a coastal administrative region in southeastern Myanmar known for its ethnically diverse population, including significant Mon and Karen communities, and its historical and cultural importance.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d3a92081909416c1d087876e99 completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271fa66081908be6c685b9bd8aa4 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:40 p.m.