Triple

T3938739
Position Surface form Disambiguated ID Type / Status
Subject The Vanishing Face of Gaia E90979 entity
Predicate positionOnMitigation P20467 FINISHED
Object argues mitigation alone is insufficient 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: argues mitigation alone is insufficient | Statement: [The Vanishing Face of Gaia, positionOnMitigation, argues mitigation alone is insufficient]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnMitigation
Context triple: [The Vanishing Face of Gaia, positionOnMitigation, argues mitigation alone is insufficient]
  • A. positionOnReason
    Indicates that one entity holds a particular stance, justification, or rationale concerning another entity or issue.
  • B. positionOnIssue chosen
    Indicates the stance or viewpoint an entity holds regarding a specific issue or topic.
  • C. positionInCase
    Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
  • D. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • E. positionOnGood
    Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcfd7d48190bbacee8b5b1b5070 completed March 9, 2026, 3:57 p.m.
PD Predicate disambiguation batch_69aee7625ad4819097e4e8a168c19274 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:24 p.m.