Triple

T9796471
Position Surface form Disambiguated ID Type / Status
Subject Baikal Rift Zone E237728 entity
Predicate hasEconomicRelevance P46888 FINISHED
Object potential hydrocarbon-bearing basins 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: potential hydrocarbon-bearing basins | Statement: [Baikal Rift Zone, hasEconomicRelevance, potential hydrocarbon-bearing basins]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicRelevance
Context triple: [Baikal Rift Zone, hasEconomicRelevance, potential hydrocarbon-bearing basins]
  • A. hasEconomicDimension chosen
    Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
  • B. hasEconomicInterest
    Indicates that one entity stands to gain or lose financially or materially from the performance, decisions, or outcomes associated with another entity.
  • C. hasEconomicFocus
    Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
  • D. hasEconomicContext
    Indicates that something is associated with, influenced by, or situated within a particular economic situation, condition, or set of financial circumstances.
  • E. hasEconomicEvidence
    Indicates that there exists supporting economic data, analysis, or documentation demonstrating or justifying the referenced relationship or claim.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34a53548190a8cb524381fe2bf9 completed April 1, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69cd03da45a88190b71b1be3354c15a6 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:28 p.m.