Triple

T19674963
Position Surface form Disambiguated ID Type / Status
Subject Worimi land E472428 entity
Predicate hasTypeOfTenure P22955 FINISHED
Object traditional Aboriginal land tenure 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: traditional Aboriginal land tenure | Statement: [Worimi land, hasTypeOfTenure, traditional Aboriginal land tenure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTenure
Context triple: [Worimi land, hasTypeOfTenure, traditional Aboriginal land tenure]
  • A. tenureType chosen
    Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
  • B. tenureCharacteristic
    Indicates a relationship where a specific attribute or quality characterizes the duration or conditions of someone’s or something’s tenure.
  • C. tenureDependsOn
    Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
  • D. lifeTenure
    Indicates that an individual holds a position or office for the duration of their lifetime, without a fixed term limit or routine reappointment.
  • E. isTenuredPosition
    Indicates that a position is a permanent academic or professional role typically protected from arbitrary dismissal.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bb2b7c8190b2badf12ce2caa52 completed April 20, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69e514eb37b8819091502cc954f70eba completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:45 p.m.