Triple

T35906041
Position Surface form Disambiguated ID Type / Status
Subject Fuzuli region E1038473 entity
Predicate hasMineContamination P98276 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: [Fuzuli region, hasMineContamination, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMineContamination
Context triple: [Fuzuli region, hasMineContamination, yes]
  • A. containsContaminant
    Indicates that one entity includes, holds, or is tainted by an unwanted or harmful contaminating substance or element.
  • B. hasPollutionIssue chosen
    Indicates that an entity is affected by, associated with, or characterized by a pollution-related problem or concern.
  • C. isInfestedWith
    Indicates that one entity is overrun, occupied, or contaminated by another, typically unwanted, organism or agent.
  • D. hasNotableMine
    Indicates that an entity possesses or is associated with a mine considered significant or noteworthy in some context.
  • E. hasMineralContent
    Indicates that an entity contains or is characterized by a specific type or amount of mineral content.
  • 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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd44474ed48190ac372e4c88d762ed completed May 8, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69fd41ef28a48190a66959be5c964461 completed May 8, 2026, 1:52 a.m.
Created at: May 3, 2026, 4:07 p.m.