Triple

T36774152
Position Surface form Disambiguated ID Type / Status
Subject Jawuru people E908566 entity
Predicate hasEnvironmentalKnowledge P109888 FINISHED
Object coastal ecosystems 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: coastal ecosystems | Statement: [Jawuru people, hasEnvironmentalKnowledge, coastal ecosystems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentalKnowledge
Context triple: [Jawuru people, hasEnvironmentalKnowledge, coastal ecosystems]
  • A. environmentalKnowledge chosen
    Indicates that an entity possesses information, awareness, or understanding about environmental issues, conditions, or impacts.
  • B. environmentSpecialization
    Indicates that an entity is specifically adapted or tailored to operate within a particular environment or set of environmental conditions.
  • C. hasEnvironmentalAttribute
    Indicates that an entity possesses a specific environmental property, condition, or characteristic.
  • D. environmentalFeatureOf
    Indicates a relationship where one entity is a natural or environmental characteristic, component, or attribute of another entity or place.
  • E. hasEnvironmentalImpactOn
    Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
  • 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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fdd5fba5048190b7d430ae2054a1fd completed May 8, 2026, 12:24 p.m.
PD Predicate disambiguation batch_69fdd35f76f88190a1854ea27132f9c7 completed May 8, 2026, 12:13 p.m.
Created at: May 3, 2026, 4:12 p.m.