Triple

T15395261
Position Surface form Disambiguated ID Type / Status
Subject Col d’Èze E368160 entity
Predicate hasClimbUse P66883 FINISHED
Object race training climb 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: race training climb | Statement: [Col d’Èze, hasClimbUse, race training climb]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClimbUse
Context triple: [Col d’Èze, hasClimbUse, race training climb]
  • A. canClimb
    Indicates that one entity has the ability or permission to climb another entity or surface.
  • B. hasClimbFrom
    Indicates a relationship where one location or object serves as the starting point from which a climb or ascent to another location or object begins.
  • C. climbingUse chosen
    Indicates that an entity uses or employs another entity as equipment, support, or aid specifically for climbing activities.
  • D. hasClimbSide
    Indicates that one entity has a particular side or surface that is suitable or designated for climbing.
  • E. canBeClimbedIn
    Indicates that one entity is suitable or possible to climb while being inside or within another entity.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ac79081908ac79c0b3e7587ff completed April 16, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69ded27b8cac8190bfa77698d53c5d1c completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:19 a.m.