Triple

T14738982
Position Surface form Disambiguated ID Type / Status
Subject Lake Tiorati E346292 entity
Predicate hasNearbyTrail P12052 FINISHED
Object Long Path E339626 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: Long Path | Statement: [Lake Tiorati, hasNearbyTrail, Long Path]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Path
Context triple: [Lake Tiorati, hasNearbyTrail, Long Path]
  • A. Long Path chosen
    The Long Path is a long-distance hiking trail in New York that stretches from New York City northward through the Hudson Valley and Catskills.
  • B. Long
    Long is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • C. LongRun
    LongRun is Transmeta's dynamic power management technology designed to reduce energy consumption and heat in microprocessors by adjusting voltage and clock speed on the fly.
  • D. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • E. Long Haul
    Long Haul is a Decepticon Constructicon from the Transformers franchise, typically depicted as a dump truck who combines with his teammates to form the giant combiner robot Devastator.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb91fdf88190bdcc9a93289f6b7f completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.