Triple

T38260003
Position Surface form Disambiguated ID Type / Status
Subject The Hudsonian Curlew E1017901 entity
Predicate hasEcologicalFocus P145805 FINISHED
Object yes 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: yes | Statement: [The Hudsonian Curlew, hasEcologicalFocus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEcologicalFocus
Context triple: [The Hudsonian Curlew, hasEcologicalFocus, yes]
  • A. hasEcology
    Indicates that an entity has a particular ecological context, such as its habitat, environmental role, or interactions within an ecosystem.
  • B. hasEcosystemFocus chosen
    Indicates that something is oriented toward, concerned with, or primarily addressing a particular ecosystem or ecological system.
  • C. hasEcologicalEffort
    Indicates that an entity undertakes actions or initiatives aimed at conserving, restoring, or improving the natural environment or ecosystems.
  • D. ecologicalRelevance
    Indicates that one entity has significance, impact, or importance for the functioning, stability, or dynamics of another entity’s ecosystem or ecological context.
  • E. ecologicalSensitivity
    Indicates how strongly an entity or area is affected by, or responsive to, changes or disturbances in its surrounding ecological conditions.
  • 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_69f76de33e4481909099fa812709bd42 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:30 p.m.