Triple

T17524902
Position Surface form Disambiguated ID Type / Status
Subject iTaukei Fijians E426768 entity
Predicate landOwnershipShare P27560 FINISHED
Object Majority of land in Fiji 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: Majority of land in Fiji | Statement: [iTaukei Fijians, landOwnershipShare, Majority of land in Fiji]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landOwnershipShare
Context triple: [iTaukei Fijians, landOwnershipShare, Majority of land in Fiji]
  • A. requiredShareOfLand
    Indicates the proportion or amount of land that must be allocated or possessed to satisfy a specified requirement or rule.
  • B. hasLandOwnershipMix chosen
    Indicates that an entity has a particular combination or distribution of different types of land ownership (e.g., public, private, communal) associated with it.
  • C. hasLandholdingsIn
    Indicates that an entity owns or controls land or property located within a specified geographic area.
  • D. landholderIn
    Indicates that one entity holds legal or recognized ownership or tenancy rights over land located within the jurisdiction or bounds of another entity.
  • E. sharesOwnershipWith
    Indicates that two or more entities jointly hold ownership rights or stakes in the same asset, resource, or organization.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d592a081909bf876d606158b2d completed April 19, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69e3b4f8b9888190aa8a45e09acf4319 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:49 a.m.