Triple

T11039774
Position Surface form Disambiguated ID Type / Status
Subject Long Branch–Bay Head E260979 entity
Predicate hasIntermediateStation P24280 FINISHED
Object Hazlet station E322471 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: Hazlet station | Statement: [Long Branch–Bay Head, hasIntermediateStation, Hazlet station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazlet station
Context triple: [Long Branch–Bay Head, hasIntermediateStation, Hazlet station]
  • A. Loria station
    Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
  • B. Atco station chosen
    Atco station is a New Jersey Transit rail stop in Atco, New Jersey, serving passengers on the Atlantic City Line between Philadelphia and Atlantic City.
  • C. 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.
  • D. Stadium Station
    Stadium Station is a light rail station in Seattle’s SoDo neighborhood that primarily serves the nearby sports stadiums and industrial area.
  • E. West Bank Station
    West Bank Station is a light rail stop on Metro Transit's Green Line serving the West Bank area of the University of Minnesota in Minneapolis.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797ff519481909ebc2515b3d241de completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9d61b548190949f0dfbcb782064 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.