Triple

T9567597
Position Surface form Disambiguated ID Type / Status
Subject East Boston Tunnel E230826 entity
Predicate hasStation P35 FINISHED
Object State station E78748 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 station | Statement: [East Boston Tunnel, hasStation, State station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State station
Context triple: [East Boston Tunnel, hasStation, State station]
  • A. State station chosen
    State station is a major underground MBTA subway station in downtown Boston serving multiple lines and providing key access to the city’s financial district.
  • B. State/Lake station
    State/Lake station is an elevated Chicago 'L' rapid transit stop in the Loop, serving multiple CTA lines in downtown Chicago.
  • C. Standard Station
    Standard Station is a famous 1966 screenprint by American artist Ed Ruscha depicting a stylized gasoline station, emblematic of his exploration of car culture and the American West.
  • D. Bowie State station
    Bowie State station is a commuter rail stop in Maryland serving MARC's Penn Line and providing access to Bowie State University and the surrounding area.
  • E. Illinois station
    Illinois station is a public transit stop on Dallas Area Rapid Transit’s Red Line in Dallas, Texas.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996df4f08190b19bbaefb10a9789 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152b09c808190aff32419f2cbb15f completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.