Triple

T1019805
Position Surface form Disambiguated ID Type / Status
Subject American flamingo E22012 entity
Predicate conservationThreat P584 FINISHED
Object habitat loss 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: habitat loss | Statement: [American flamingo, conservationThreat, habitat loss]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conservationThreat
Context triple: [American flamingo, conservationThreat, habitat loss]
  • A. threatenedBy
    Indicates that one entity poses a danger or potential harm to another entity.
  • B. conservationIssue chosen
    Indicates that an entity is associated with a problem, threat, or concern related to the protection, preservation, or sustainable management of natural resources or biodiversity.
  • C. endangerment
    Indicates a relationship in which one entity exposes another to potential harm, risk, or danger.
  • D. conservationFocus
    Indicates that the primary emphasis or priority of an entity, project, or action is on conservation-related goals, activities, or outcomes.
  • E. conservationStatus
    Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dbcf7c8190858b2d16a27bd2ff completed March 1, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69a4b724c7908190a5b92a57fbdbff4e completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.