Triple

T19147160
Position Surface form Disambiguated ID Type / Status
Subject Ou Mountains E468708 entity
Predicate hasGeohazard P44599 FINISHED
Object volcanic eruptions 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: volcanic eruptions | Statement: [Ou Mountains, hasGeohazard, volcanic eruptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGeohazard
Context triple: [Ou Mountains, hasGeohazard, volcanic eruptions]
  • A. geologicalHazardZoneFor
    Indicates a relationship where a specified area or zone is identified as being at risk from a particular geological hazard (such as earthquakes, landslides, or volcanic activity).
  • B. hasNaturalHazardRisk chosen
    Indicates that an entity is exposed or subject to potential damage or impact from one or more natural hazards (e.g., earthquakes, floods, storms).
  • C. geologicHazardLevel
    Indicates the degree of potential danger or risk posed by geologic processes or conditions at a given location.
  • D. hasVolcanicHazardMap
    Indicates that a location or area is associated with an existing volcanic hazard map that documents potential volcanic risks there.
  • E. hasAvalancheRisk
    Indicates that there is a potential or assessed danger of an avalanche occurring in relation to the referenced 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97a79a48190b243553023bf9081 completed April 20, 2026, 8:53 a.m.
PD Predicate disambiguation batch_69e4b9b475d88190a8c15e8eb01dbfef completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.