Triple

T4563206
Position Surface form Disambiguated ID Type / Status
Subject Island Park, New York E121845 entity
Predicate transportation P230 FINISHED
Object Island Park station E376239 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: Island Park station | Statement: [Island Park, New York, transportation, Island Park station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Island Park station
Context triple: [Island Park, New York, transportation, Island Park station]
  • A. Island Park station chosen
    Island Park station is a Long Island Rail Road commuter rail stop serving the village of Island Park in Nassau County, New York.
  • B. Snyder station
    Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
  • C. Meadowview Station
    Meadowview Station is a light rail transit station in Sacramento, California, serving as part of the Sacramento Regional Transit District’s network.
  • D. Bachman station
    Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
  • E. Meadow Woods station
    Meadow Woods station is a commuter rail stop in the Orlando, Florida area served by the SunRail regional rail system.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd5830b4308190a63699bf28922375 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc5a2a97081909c9c064924fcaa22 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.