Triple

T10570780
Position Surface form Disambiguated ID Type / Status
Subject Warren Street/NJIT station E249472 entity
Predicate adjacentTo P224 FINISHED
Object Washington Street station E291616 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: Washington Street station | Statement: [Warren Street/NJIT station, adjacentTo, Washington Street station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Washington Street station
Context triple: [Warren Street/NJIT station, adjacentTo, Washington Street station]
  • A. Washington Street station chosen
    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. 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.
  • D. North Avenue station
    North Avenue station is a transit stop on Baltimore's Light Rail system serving the North Avenue corridor in Baltimore, Maryland.
  • E. North Avenue station
    North Avenue station is a major elevated rail station in Quezon City, Philippines, serving as a key commuter hub on Manila’s MRT Line 3.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274678148190b7a1afc099628357 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbacc05334819081e994d75b5e9318 completed April 12, 2026, 2:31 p.m.
Created at: April 6, 2026, 12:37 p.m.