Triple

T3014687
Position Surface form Disambiguated ID Type / Status
Subject Catania E82307 entity
Predicate hasVolcanicRisk P15609 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: [Catania, hasVolcanicRisk, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVolcanicRisk
Context triple: [Catania, hasVolcanicRisk, true]
  • A. hasVolcano
    Indicates that one entity possesses, contains, or is the location of a volcano.
  • B. hasVolcanicActivity
    Indicates that the subject exhibits or is associated with ongoing or past volcanic processes, such as eruptions, lava flows, or related geothermal activity.
  • C. isVolcanic
    Indicates that something is characterized by or related to volcanic activity, such as originating from, produced by, or associated with a volcano.
  • D. containsVolcanicRegion
    Indicates that one entity geographically includes or encompasses an area characterized by volcanic features or activity.
  • E. volcanicHazards chosen
    Indicates the presence or characterization of dangers and harmful phenomena associated with volcanic activity.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a69e8148190a97507740c9d26a8 completed March 8, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69ad961a97188190809dc73430a8eda8 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.