Triple

T2134901
Position Surface form Disambiguated ID Type / Status
Subject Harlem Line E46626 entity
Predicate hasStation P35 FINISHED
Object Mount Kisco E36514 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: Mount Kisco | Statement: [Harlem Line, hasStation, Mount Kisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kisco
Context triple: [Harlem Line, hasStation, Mount Kisco]
  • A. Mount Eddy
    Mount Eddy is a prominent peak in Northern California known for its alpine terrain, diverse geology, and extensive hiking opportunities within the Klamath Mountains region.
  • B. Mount Kisco, New York chosen
    Mount Kisco, New York, is a small suburban village and town in the Hudson Valley region that serves as a commercial and residential hub in northern Westchester County.
  • C. Mount Lamongan
    Mount Lamongan is a small stratovolcano in East Java, Indonesia, known for its numerous surrounding maars and cinder cones.
  • D. Mount Arvon
    Mount Arvon is a forested peak in Michigan’s remote Upper Peninsula, recognized as the state’s highest natural point and a popular destination for hikers and sightseers.
  • E. Mount Mansfield
    Mount Mansfield is the highest peak in Vermont and a prominent landmark known for its distinctive ridgeline that resembles a human profile.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbba34b44819083ed6d93c943439f completed March 7, 2026, 5:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ac8a0081909cbb1187513bfc56 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:44 p.m.