Triple

T1119262
Position Surface form Disambiguated ID Type / Status
Subject Society for Mining, Metallurgy & Exploration E11171 entity
Predicate hasAreaOfInterest P25176 FINISHED
Object exploration geology 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: exploration geology | Statement: [Society for Mining, Metallurgy & Exploration, hasAreaOfInterest, exploration geology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAreaOfInterest
Context triple: [Society for Mining, Metallurgy & Exploration, hasAreaOfInterest, exploration geology]
  • A. hasLandmarkArea
    Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
  • B. hasCatchmentArea
    Indicates that a geographic or administrative unit serves as the area from which an entity (such as a facility or service) draws its users, resources, or influence.
  • C. hasPolicyArea
    Indicates that an entity (such as a policy, program, or initiative) is associated with or pertains to a specific policy area or domain.
  • D. hasAreaType
    Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
  • E. featureOfInterest
    Indicates the entity or object that is the primary subject or focus of the described observation, measurement, or analysis.
  • F. None of above. chosen

Provenance (4 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4562f48190831e959f5f309956 completed March 1, 2026, 10:18 p.m.
PDg Predicate description generation batch_69a4bc47fce48190825d3a877251f789 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:43 p.m.