Triple

T15113500
Position Surface form Disambiguated ID Type / Status
Subject Devonshire station E360973 entity
Predicate laterKnownAs P65 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: [Devonshire station, laterKnownAs, State station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State station
Context triple: [Devonshire station, laterKnownAs, 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058d786c8190937c6819255c01bd completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eccb988190aae27dd28cf50997 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.