Triple

T6892569
Position Surface form Disambiguated ID Type / Status
Subject Wiradhuri E159081 entity
Predicate facedHistoricalImpact P73977 FINISHED
Object land dispossession 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: land dispossession | Statement: [Wiradhuri, facedHistoricalImpact, land dispossession]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facedHistoricalImpact
Context triple: [Wiradhuri, facedHistoricalImpact, land dispossession]
  • A. historicalImpact
    Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
  • B. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • C. hasHistoricalInfluenceFrom
    Indicates that one entity’s characteristics, development, or significance have been shaped or affected by the past actions, ideas, or legacy of another entity.
  • D. heritageImpact
    Indicates the effect that an action, project, or condition has on the preservation, integrity, or value of cultural or historical heritage.
  • E. historicallyConsidered
    Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
  • F. None of above. chosen

Provenance (4 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d930ab548190953291d63cbc721b completed March 27, 2026, 7:23 p.m.
PD Predicate disambiguation batch_69c6d7b53e9881909ec298daa9f1913b completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6d8c48ba48190b8d3aa7b8d22816b completed March 27, 2026, 7:21 p.m.
Created at: March 27, 2026, 2:24 p.m.