Triple

T1903475
Position Surface form Disambiguated ID Type / Status
Subject Gaia hypothesis E37744 entity
Predicate DaisyworldModelUsedFor P2006 FINISHED
Object illustrating climate self-regulation by life 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: illustrating climate self-regulation by life | Statement: [Gaia hypothesis, DaisyworldModelUsedFor, illustrating climate self-regulation by life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: DaisyworldModelUsedFor
Context triple: [Gaia hypothesis, DaisyworldModelUsedFor, illustrating climate self-regulation by life]
  • A. hasClimateSystem
    Indicates that one entity possesses or is characterized by a particular climate system.
  • B. isModelOrganism
    Indicates that one organism is used as a representative experimental system for studying biological processes relevant to other organisms.
  • C. cosmologyModelContext
    Indicates the contextual relationship between a cosmological model and the specific theoretical, observational, or interpretive framework within which that model is defined or applied.
  • D. partOfEcosystem
    Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
  • E. model chosen
    Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafe9f8b0819086d8f6288511c66d completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.