Triple

T7146668
Position Surface form Disambiguated ID Type / Status
Subject Black robin E166585 entity
Predicate conservationProgramStart P5942 FINISHED
Object 1970s 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: 1970s | Statement: [Black robin, conservationProgramStart, 1970s]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: conservationProgramStart
Context triple: [Black robin, conservationProgramStart, 1970s]
  • A. hasConservationProgram
    Indicates that an entity maintains or participates in an organized effort to protect, restore, or sustainably manage natural resources, species, or ecosystems.
  • B. hasConservationCampaign
    Indicates that an entity is associated with or participates in a specific conservation campaign aimed at protecting or restoring natural resources or biodiversity.
  • C. hasConservationPlan
    Indicates that an entity is associated with a defined conservation plan outlining measures to protect, manage, or restore it.
  • D. conservationActions
    Indicates actions or measures undertaken to protect, restore, or sustainably manage a species, habitat, or ecosystem.
  • E. environmentalProgram chosen
    Indicates that an entity is involved in, associated with, or constitutes a program or initiative aimed at protecting, managing, or improving the environment.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d4f3388190941f03fd80b0c223 completed March 27, 2026, 8:25 p.m.
PD Predicate disambiguation batch_69c6e1c932888190b125ca3785b18553 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:46 p.m.