Triple

T15728115
Position Surface form Disambiguated ID Type / Status
Subject NJ Transit Morris & Essex Lines E381268 entity
Predicate hasStation P35 FINISHED
Object Summit station E336581 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: Summit station | Statement: [NJ Transit Morris & Essex Lines, hasStation, Summit station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Summit station
Context triple: [NJ Transit Morris & Essex Lines, hasStation, Summit station]
  • A. Summit station chosen
    Summit station is a commuter rail station in Summit, New Jersey, serving as a key stop on NJ Transit's Morris & Essex Lines.
  • B. Summit station
    Summit station is a commuter rail stop in Summit, Illinois, served by Metra’s Heritage Corridor line connecting the southwest suburbs to downtown Chicago.
  • C. Winter Park station
    Winter Park station is a commuter rail stop in Winter Park, Florida, serving as part of the Orlando-area SunRail transit system.
  • D. The Pointe Station
    The Pointe Station is a monorail stop on Dubai’s Palm Jumeirah serving the waterfront dining and entertainment destination known as The Pointe.
  • E. Tuxedo station
    Tuxedo station is a commuter rail stop in Tuxedo, New York, serving passengers on the Port Jervis Line between New York City and Orange County.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82faa5508190a28e2a224d4a4a06 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:46 a.m.