Triple

T955416
Position Surface form Disambiguated ID Type / Status
Subject Ronkonkoma Branch E20614 entity
Predicate hasStation P35 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: [Ronkonkoma Branch, hasStation, Ronkonkoma station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronkonkoma station
Context triple: [Ronkonkoma Branch, hasStation, 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. Osakajokoen Station
    Osakajokoen Station is a railway station in Osaka, Japan that serves as a primary access point for visitors to Osaka Castle and its surrounding park.
  • C. Syosset station
    Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
  • D. Monroe station
    Monroe station is a Chicago 'L' rapid transit stop located in the Loop, serving downtown commuters on the city's elevated rail system.
  • E. Pioneer Village station
    Pioneer Village station is a Toronto Transit Commission subway station on Line 1 Yonge–University serving the York University and North York/Vaughan area.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3f7a7608190b8a8dd2486654bec completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac17016be0819097207669eae17490 completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.