Triple

T5574628
Position Surface form Disambiguated ID Type / Status
Subject Winter Park E146287 entity
Predicate hasRailStation P726 FINISHED
Object Winter Park station E317555 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: Winter Park station | Statement: [Winter Park, hasRailStation, Winter Park station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winter Park station
Context triple: [Winter Park, hasRailStation, Winter Park station]
  • A. Winter Park station chosen
    Winter Park station is a commuter rail stop in Winter Park, Florida, serving as part of the Orlando-area SunRail transit system.
  • B. Summit station
    Summit station is a commuter rail station in Summit, New Jersey, serving as a key stop on NJ Transit's Morris & Essex Lines.
  • C. East Point station
    East Point station is a rapid transit stop on Atlanta’s MARTA rail system serving the city of East Point, Georgia.
  • D. Silver Lake station
    Silver Lake station is a stop on New Jersey's Newark Light Rail system serving the surrounding residential neighborhood.
  • E. Island Park station
    Island Park station is a Long Island Rail Road commuter rail stop serving the village of Island Park in Nassau County, New York.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02054ce8c819093e1a6379ec92006 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02852a6fc8190a543508ab3237f95 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.