Triple

T23089593
Position Surface form Disambiguated ID Type / Status
Subject Cima volcanic field region E575706 entity
Predicate hasVolcanicConeCount P109817 FINISHED
Object more than 30 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: more than 30 | Statement: [Cima volcanic field region, hasVolcanicConeCount, more than 30]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVolcanicConeCount
Context triple: [Cima volcanic field region, hasVolcanicConeCount, more than 30]
  • A. numberOfVolcanoes
    Indicates the count of volcanoes associated with a given entity or within a specified context.
  • B. eruptiveCentersCount chosen
    Indicates the number of distinct eruptive centers involved or present in a given volcanic or geological context.
  • C. volcanoNumber
    Indicates that an entity is assigned a specific identifying number within a system or catalog of volcanoes.
  • D. hasVolcanicVents
    Indicates that one entity possesses or contains volcanic vents associated with another entity or location.
  • E. hasVolcano
    Indicates that one entity possesses, contains, or is the location of a volcano.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da8818481908d768a0462f3f837 completed April 29, 2026, 4:48 a.m.
PD Predicate disambiguation batch_69ef89e5ce748190b2c3ac3843484127 completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 3:57 p.m.