Triple

T10387663
Position Surface form Disambiguated ID Type / Status
Subject Mount Lyell climbing route E244805 entity
Predicate distanceApprox P37106 FINISHED
Object roughly 20–25 miles round trip (varies by start point) 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: roughly 20–25 miles round trip (varies by start point) | Statement: [Mount Lyell climbing route, distanceApprox, roughly 20–25 miles round trip (varies by start point)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceApprox
Context triple: [Mount Lyell climbing route, distanceApprox, roughly 20–25 miles round trip (varies by start point)]
  • A. approximateDistanceFrom chosen
    Indicates an estimated or rough measure of how far one entity is from another.
  • B. distanceMetric
    Indicates a quantitative measure of how far apart two entities are within a given space or according to a specified metric.
  • C. distanceCharacteristic
    Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
  • D. distancedFrom
    Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
  • E. approximateDistanceKm
    Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a59d688190b1da1ea0ed48fafa completed April 7, 2026, 11:25 a.m.
PD Predicate disambiguation batch_69d4dfb0e7a88190bec0b7a52c70dfe2 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, 12:05 p.m.