Triple

T13151734
Position Surface form Disambiguated ID Type / Status
Subject Congress Street E312482 entity
Predicate hasAccessTo P1017 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: [Congress Street, hasAccessTo, State station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State station
Context triple: [Congress Street, hasAccessTo, 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. Nation station
    Nation station is a major Paris Métro and RER interchange in the 12th arrondissement, serving as an important hub for urban and suburban transit in eastern Paris.
  • C. BC station
    BC station is a light rail stop on the Massachusetts Bay Transportation Authority's Green Line serving the Boston College area in Chestnut Hill, Massachusetts.
  • D. State/Lake station
    State/Lake station is an elevated Chicago 'L' rapid transit stop in the Loop, serving multiple CTA lines in downtown Chicago.
  • E. La Fox station
    La Fox station is a commuter rail stop in La Fox, Illinois, served by Metra's Union Pacific West Line.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaeca00c8190aa5645d1084c7d60 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.