Triple

T9433655
Position Surface form Disambiguated ID Type / Status
Subject MBTA Aquarium station E227445 entity
Predicate adjacentStationOnBlueLine P62965 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: [MBTA Aquarium station, adjacentStationOnBlueLine, State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State
Context triple: [MBTA Aquarium station, adjacentStationOnBlueLine, 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. État
    État is a French public transport ticketing system used for accessing and paying for services across the national rail and associated networks.
  • E. States
    The States are the individual self-governing regional political units within the federal system of Australia, each with its own parliament and constitutional powers.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e61a114819081fc4a2ad39c96ba completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104514d481908d7cb9a87a01f1e2 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.