Triple

T156542
Position Surface form Disambiguated ID Type / Status
Subject Charlie-Gibbs Fracture Zone E3192 entity
Predicate hasScientificInterest P494 FINISHED
Object plate kinematics 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: plate kinematics | Statement: [Charlie-Gibbs Fracture Zone, hasScientificInterest, plate kinematics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScientificInterest
Context triple: [Charlie-Gibbs Fracture Zone, hasScientificInterest, plate kinematics]
  • A. hasResearchArea
    Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
  • B. scientificConsensus
    Indicates that there is broad agreement among qualified experts or authoritative sources that a particular claim, finding, or theory is valid.
  • C. studiedBy
    Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
  • D. representsInterestOf
    Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
  • E. hasNotableSubject chosen
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a258808ff08190a06b6206f635612b completed Feb. 28, 2026, 2:52 a.m.
PD Predicate disambiguation batch_69a2565ded588190a27319aaa0130b4f completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.