Triple

T24091187
Position Surface form Disambiguated ID Type / Status
Subject Ava-Canoeiro E596788 entity
Predicate traditionalLifestyleStatus P155044 FINISHED
Object severely threatened 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: severely threatened | Statement: [Ava-Canoeiro, traditionalLifestyleStatus, severely threatened]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalLifestyleStatus
Context triple: [Ava-Canoeiro, traditionalLifestyleStatus, severely threatened]
  • A. traditionalLifestyle
    Indicates that an entity follows or maintains long-established customs, practices, and ways of living, typically in contrast to modern or industrialized lifestyles.
  • B. traditionalLifestyleRegion
    Indicates that a region is characterized by or associated with a traditional lifestyle or way of living.
  • C. traditionalStatus
    Indicates that one entity holds a customary, long-established, or culturally recognized role, condition, or standing in relation to another entity.
  • D. traditionalHeir
    Indicates that one entity is recognized as the customary or culturally designated inheritor or successor of another entity.
  • E. traditionallyLivedTo
    Indicates that an entity customarily or historically resided in a particular place or environment over an extended 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_69e288c4638c81909bacc28a1e3d436b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc2e672c8190b3e4be041835cc27 completed April 29, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69f17651458c8190bbfd301883e46085 completed April 29, 2026, 3:09 a.m.
PDg Predicate description generation batch_69f17b58012c81909106b332db399023 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 10:53 p.m.