Triple

T23190202
Position Surface form Disambiguated ID Type / Status
Subject University Heights E579710 entity
Predicate hasNearbyStation P5648 FINISHED
Object Washington Street 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: Washington Street station | Statement: [University Heights, hasNearbyStation, Washington Street station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washington Street station
Context triple: [University Heights, hasNearbyStation, Washington Street station]
  • A. Washington Street station
    Washington Street station is a stop on the Newark Light Rail system serving passengers in downtown Newark, New Jersey.
  • B. Washington Street station
    Washington Street station is a surface light rail stop in Boston, Massachusetts, serving the MBTA Green Line B branch along Commonwealth Avenue.
  • C. Washington Street station chosen
    Washington Street station is a light rail stop in San Diego, California, served by the UC San Diego Blue Line of the San Diego Trolley system.
  • D. Park Street station
    Park Street station is a major downtown Boston transit hub on the MBTA system, serving multiple Green Line branches and providing connections to the Red Line.
  • E. North Avenue station
    North Avenue station is a rapid transit stop in Atlanta, Georgia, serving MARTA’s Red Line near the city’s Midtown and downtown areas.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd65e008190a724619a107d7bd1 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.