Triple

T37148498
Position Surface form Disambiguated ID Type / Status
Subject Great Crater E920302 entity
Predicate hasGeothermalPhenomena P188405 FINISHED
Object yes 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: yes | Statement: [Great Crater, hasGeothermalPhenomena, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGeothermalPhenomena
Context triple: [Great Crater, hasGeothermalPhenomena, yes]
  • A. geothermalFeatures chosen
    Indicates that the subject has or is associated with naturally occurring geothermal phenomena, such as hot springs, geysers, or other heat-related geological features.
  • B. hasGeologicalActivity
    Indicates that an entity exhibits or is associated with ongoing or past geological processes such as volcanism, tectonics, or seismic activity.
  • C. hasVolcanicVents
    Indicates that one entity possesses or contains volcanic vents associated with another entity or location.
  • D. hasHydrothermalActivity
    Indicates that a location or geological feature exhibits hydrothermal activity, such as the circulation of heated water or fluids associated with geothermal processes.
  • E. hasVolcanicLandform
    Indicates that one entity possesses, contains, or is characterized by a volcanic landform (such as a volcano, caldera, or lava plateau).
  • 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_69f76e9f87c08190b4c8f7fafbd8345a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe163a41a0819098403b470e327d29 completed May 8, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fe1358db5c819092570814a37ef5bd completed May 8, 2026, 4:46 p.m.
Created at: May 3, 2026, 4:15 p.m.