Triple

T9021311
Position Surface form Disambiguated ID Type / Status
Subject Rocas de Suesca E215729 entity
Predicate hasApproximateNumberOfRoutes P29564 FINISHED
Object more than 400 climbing routes 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: more than 400 climbing routes | Statement: [Rocas de Suesca, hasApproximateNumberOfRoutes, more than 400 climbing routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfRoutes
Context triple: [Rocas de Suesca, hasApproximateNumberOfRoutes, more than 400 climbing routes]
  • A. numberOfRoutes chosen
    Indicates the total count of distinct routes or paths associated with a given entity or between specified entities.
  • B. approximateRouteLength
    Indicates the estimated total distance or length of a given route, rather than its exact measured value.
  • C. hasRouteMaps
    Indicates that one entity possesses or provides route maps that describe paths, directions, or connections related to another entity.
  • D. hasRouteNetwork
    Indicates that one entity possesses, is associated with, or is covered by a specific route network connecting multiple locations or paths.
  • E. hasEasiestRoute
    Indicates that one entity provides or represents the simplest or least difficult route or path to reach another entity or destination.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a43add08190983b7ac88576fd7e completed April 1, 2026, 12:43 a.m.
PD Predicate disambiguation batch_69cc5edf84408190aa5f57cb8bfd00e1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:07 p.m.