Triple

T16741607
Position Surface form Disambiguated ID Type / Status
Subject AMCU E406846 entity
Predicate environmentalSuitability P124462 FINISHED
Object bushland 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: bushland | Statement: [AMCU, environmentalSuitability, bushland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: environmentalSuitability
Context triple: [AMCU, environmentalSuitability, bushland]
  • A. environmentalConstraint
    Indicates that an entity is subject to limitations, conditions, or restrictions imposed by its surrounding physical, ecological, or environmental context.
  • B. environmentalCondition
    Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
  • C. ecologicalSensitivity
    Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
  • D. ecologicalStatus
    Indicates the condition or health of an ecosystem or environment, often in terms of its quality, integrity, or degree of disturbance.
  • E. environmentSpecialization
    Indicates that an entity is specifically adapted or tailored to operate within a particular environment or set of environmental conditions.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3e87348190acaf7c40e8f8b566 completed April 18, 2026, 2:59 p.m.
PD Predicate disambiguation batch_69e319c807788190901250ab6e0ca55f completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326b9e84881909a9166e65bd850d6 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:21 a.m.