Triple

T29749555
Position Surface form Disambiguated ID Type / Status
Subject Mountain troops E752855 entity
Predicate requireTrainingIn P22716 FINISHED
Object mountaineering 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: mountaineering | Statement: [Mountain troops, requireTrainingIn, mountaineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requireTrainingIn
Context triple: [Mountain troops, requireTrainingIn, mountaineering]
  • A. requiresTraining chosen
    Indicates that one entity can only be properly or legitimately used, performed, or engaged with if the other entity has first received appropriate training.
  • B. requiresTrainingAt
    Indicates that one entity must undergo or complete training at a specified organization, institution, or location as a prerequisite or requirement.
  • C. requiresTrainingFrom
    Indicates that one entity must receive training or instruction from another entity in order to be properly prepared or qualified.
  • D. trainingIn
    Indicates that one entity is undergoing or receiving training within the context, program, or domain specified by another entity.
  • E. receivedTrainingIn
    Indicates that one entity has undergone or been provided with training or instruction in a particular field, skill, or subject associated with 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_69f0d62c84cc8190846f80ae04fdf8ec completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fddd373cdc8190be1b12e70e4deb1f completed May 8, 2026, 12:55 p.m.
PD Predicate disambiguation batch_69fddc6915a88190ad41e379aa3ede13 completed May 8, 2026, 12:51 p.m.
Created at: April 28, 2026, 7:53 p.m.