Triple

T25977895
Position Surface form Disambiguated ID Type / Status
Subject Taiko Conservation Area E645989 entity
Predicate speciesStatusProtected P141134 FINISHED
Object critically endangered 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: critically endangered | Statement: [Taiko Conservation Area, speciesStatusProtected, critically endangered]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: speciesStatusProtected
Context triple: [Taiko Conservation Area, speciesStatusProtected, critically endangered]
  • A. wildlifeProtectionStatus
    Indicates the level or type of legal or conservation protection currently applied to wildlife.
  • B. conservationStatus
    Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
  • C. speciesStatus chosen
    Indicates the conservation or population status assigned to a species, such as whether it is endangered, threatened, or of least concern.
  • D. stateOfConservation
    Indicates the condition or preservation status of an entity, typically in terms of how intact, degraded, or at risk it is.
  • E. stateAnimalConserved
    Indicates that a particular animal species is officially protected or conserved within a given state or regional jurisdiction.
  • 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_69e77e8768648190b27bb578f14bcb88 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f612607c388190ab61d1ac7d18e08d completed May 2, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69f611a9272881909093360472be832c completed May 2, 2026, 3 p.m.
Created at: April 22, 2026, 8:52 a.m.