Triple

T10473669
Position Surface form Disambiguated ID Type / Status
Subject Old Inspiration Point E246991 entity
Predicate hasApproxRoundTripDistanceMi P35279 FINISHED
Object 2.5 to 3.0 LITERAL 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: 2.5 to 3.0 | Statement: [Old Inspiration Point, hasApproxRoundTripDistanceMi, 2.5 to 3.0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproxRoundTripDistanceMi
Context triple: [Old Inspiration Point, hasApproxRoundTripDistanceMi, 2.5 to 3.0]
  • A. hasApproximateDrivingDistanceFrom
    Indicates that one entity is located at an estimated or approximate driving distance from another entity, typically measured along road routes rather than as a precise or exact value.
  • B. approximateLengthInMiles
    Indicates the estimated distance or extent of something measured in miles.
  • C. approximateRoundTripDistanceFromTrailhead chosen
    Indicates the estimated total distance of a complete out-and-back journey measured from the trailhead.
  • D. trailDistanceApprox
    Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
  • E. hasApproximateDistanceScale
    Indicates that one entity is related to another by a distance measure that is approximate or estimated rather than exact.
  • F. None of above.

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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094daac081908e0ba5e10c1bbb67 completed April 7, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69d4fb84bafc8190819757b93620508a completed April 7, 2026, 12:41 p.m.
Created at: April 6, 2026, 12:20 p.m.