Triple

T13075020
Position Surface form Disambiguated ID Type / Status
Subject Glacier du Tour E329549 entity
Predicate hasAvalancheRisk P108313 FINISHED
Object true 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: true | Statement: [Glacier du Tour, hasAvalancheRisk, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAvalancheRisk
Context triple: [Glacier du Tour, hasAvalancheRisk, true]
  • A. hasNaturalHazardRisk
    Indicates that an entity is exposed or subject to potential damage or impact from one or more natural hazards (e.g., earthquakes, floods, storms).
  • B. hasTsunamiRisk
    Indicates that the subject is exposed to or associated with a potential risk of tsunamis.
  • C. hasSevereWeatherRisk
    Indicates that an entity is exposed to or associated with a high likelihood of severe or hazardous weather conditions.
  • D. isLandslide
    Indicates that an event or condition involves a landslide, where a mass of earth or rock moves down a slope.
  • E. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • F. None of above. chosen

Provenance (4 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98117209081908272021013df2222 completed April 10, 2026, 11 p.m.
PD Predicate disambiguation batch_69d9803d46688190bac6b7d208f08d01 completed April 10, 2026, 10:57 p.m.
PDg Predicate description generation batch_69d980e622e8819087a69bfb1660dd64 completed April 10, 2026, 10:59 p.m.
Created at: April 9, 2026, 9 p.m.