Triple

T1038277
Position Surface form Disambiguated ID Type / Status
Subject La Niña E22413 entity
Predicate hasPhaseType P3733 FINISHED
Object cool phase 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: cool phase | Statement: [La Niña, hasPhaseType, cool phase]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhaseType
Context triple: [La Niña, hasPhaseType, cool phase]
  • A. hasPhaseRelation
    Indicates that two entities are related by a specific phase difference or phase alignment in time or a cyclical process.
  • B. hasStageType chosen
    Indicates that an entity is associated with, or classified by, a specific type or category of stage within a process, lifecycle, or workflow.
  • C. hasWarmPhase
    Indicates that an entity undergoes or includes a period characterized by relatively higher temperatures or warmer conditions.
  • D. hasCurrentType
    Indicates that an entity currently possesses or is classified under a specific type or category, as opposed to past or potential types.
  • E. hasProjectType
    Indicates that an entity is associated with, or classified under, a specific type or category of project.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b97c64a88190bf1119fdd4940bf3 completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b729f8488190b2042bd9c625a833 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.