Triple

T1537400
Position Surface form Disambiguated ID Type / Status
Subject Greenlawn, New York E32582 entity
Predicate hasRailService P782 FINISHED
Object Greenlawn station E160126 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: Greenlawn station | Statement: [Greenlawn, New York, hasRailService, Greenlawn station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenlawn station
Context triple: [Greenlawn, New York, hasRailService, Greenlawn station]
  • A. Greenlawn station chosen
    Greenlawn station is a Long Island Rail Road commuter rail stop in Greenlawn, New York, serving passengers on the Port Jefferson Branch.
  • B. Cedarhurst station
    Cedarhurst station is a Long Island Rail Road commuter rail stop serving the village of Cedarhurst in Nassau County, New York.
  • C. Glenmont station
    Glenmont station is a Washington Metro rapid transit station in Montgomery County, Maryland, serving as the northern terminus of the system's Red Line.
  • D. Valley Road station
    Valley Road station is a small light rail stop on the MBTA's Mattapan trolley line in Milton, Massachusetts.
  • E. Cedar Grove station
    Cedar Grove station is a small neighborhood stop on Boston's MBTA Red Line, serving the Ashmont–Mattapan High-Speed Line in the Dorchester area.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9082af6d88190b63a187ef516bb21 completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6adcef5881908cefd7d575b85323 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:26 p.m.