Triple

T13523557
Position Surface form Disambiguated ID Type / Status
Subject Lake Ronkonkoma E322961 entity
Predicate hasNearbyTransportation P6208 FINISHED
Object Ronkonkoma station E78790 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: Ronkonkoma station | Statement: [Lake Ronkonkoma, hasNearbyTransportation, Ronkonkoma station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronkonkoma station
Context triple: [Lake Ronkonkoma, hasNearbyTransportation, Ronkonkoma station]
  • A. Ronkonkoma station chosen
    Ronkonkoma station is a major Long Island Rail Road hub in Ronkonkoma, New York, serving as a key transfer and commuter point for central Long Island.
  • B. Kejaksan Station
    Kejaksan Station is a major railway station in Cirebon, Indonesia, serving as an important hub for intercity and regional train services on Java.
  • C. Valhalla station
    Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
  • D. Kedzie station
    Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
  • E. Mount Kisco station
    Mount Kisco station is a commuter rail station in Mount Kisco, New York, serving as a stop on the Metro-North Railroad's Harlem Line.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549c016c8190945a185b2bc20689 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.