Triple

T796376
Position Surface form Disambiguated ID Type / Status
Subject nēnē E17031 entity
Predicate conservationSuccessStory P19128 FINISHED
Object true 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: true | Statement: [nēnē, conservationSuccessStory, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conservationSuccessStory
Context triple: [nēnē, conservationSuccessStory, true]
  • A. conservationFocus
    Indicates that the primary emphasis or priority of an entity, project, or action is on conservation-related goals, activities, or outcomes.
  • B. conservationIssue
    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. conservationValue
    Indicates the degree to which something is considered important or valuable for conservation or protection of natural or cultural resources.
  • D. conservationTool
    Indicates that an entity functions as a tool, method, or resource used to support or carry out conservation activities or objectives.
  • E. conservationObligation
    Indicates a duty or responsibility to protect, preserve, or sustainably manage a resource, environment, or entity.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b172e88190a26d31c9075b81fb completed March 1, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69a4a5122a008190b0c621b7bc588d41 completed March 1, 2026, 8:44 p.m.
PDg Predicate description generation batch_69a4a5bed20c81909ecc28bf42594e72 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:38 p.m.