Triple

T20764578
Position Surface form Disambiguated ID Type / Status
Subject GVT E511060 entity
Predicate stationCodeFor P1289 FINISHED
Object Government Center station NE NERFINISHED

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: Government Center station | Statement: [GVT, stationCodeFor, Government Center station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Government Center station
Context triple: [GVT, stationCodeFor, Government Center station]
  • A. Government Center station
    Government Center station is a major transit hub in downtown Miami that serves as a central connection point for multiple Miami-Dade public transportation lines.
  • B. Government Center station chosen
    Government Center station is a major Boston subway hub and transfer point in downtown Boston, serving multiple MBTA Green Line branches and the Blue Line.
  • C. Federal Center station
    Federal Center station is a light rail transit stop in Lakewood, Colorado, serving Denver’s RTD W Line and the nearby Denver Federal Center complex.
  • D. Cultural Center Station
    Cultural Center Station is a metro station in Kaohsiung, Taiwan, serving the area around the Kaohsiung Cultural Center on the Kaohsiung MRT Orange Line.
  • E. Convention Center station
    Convention Center station is a MetroLink light rail stop serving the downtown area of St. Louis, Missouri, near its convention and event facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24b18b8819082e61104be6f83a3 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.