Triple

T21571105
Position Surface form Disambiguated ID Type / Status
Subject Mount Nimba E532283 entity
Predicate hasLandUseConflict P141795 FINISHED
Object conservation versus iron ore mining 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: conservation versus iron ore mining | Statement: [Mount Nimba, hasLandUseConflict, conservation versus iron ore mining]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandUseConflict
Context triple: [Mount Nimba, hasLandUseConflict, conservation versus iron ore mining]
  • A. hasLandUseCharacter
    Indicates that one entity possesses or is associated with a particular type or pattern of land use.
  • B. landUseIssues chosen
    Indicates conflicts, problems, or concerns arising from how land is used, managed, or designated.
  • C. hasLandUsePressure
    Indicates that an area or entity is subject to demands or stresses from human or other uses of land that may affect its condition or availability.
  • D. addressesConflictWithin
    Indicates that one entity deals with, manages, or resolves a conflict that exists inside another entity or within its internal scope.
  • E. conflictUse
    Indicates a relationship where one entity’s use, application, or operation is incompatible with, obstructs, or negatively interferes with another entity’s use.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9cc5c448190887a836f577d01ba completed April 27, 2026, 4:45 a.m.
PD Predicate disambiguation batch_69e6320c8c2c81908bf031447d66a052 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:30 p.m.