Triple

T1900263
Position Surface form Disambiguated ID Type / Status
Subject Aquila nipalensis E37674 entity
Predicate usesThermals P32952 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: [Aquila nipalensis, usesThermals, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesThermals
Context triple: [Aquila nipalensis, usesThermals, true]
  • A. hasThermalWaterUse
    Indicates that something makes use of thermal water, typically for purposes such as heating, bathing, energy production, or therapeutic applications.
  • B. hasTemperature
    Indicates that an entity possesses or is characterized by a specific temperature value.
  • C. HeatCoach
    Indicates a relationship where one entity serves as a coach for a team or organization named "Heat."
  • D. coreTemperature
    Indicates that an entity has a specific internal or central temperature value.
  • E. thermalControl
    Indicates a relationship where one entity regulates, adjusts, or maintains the temperature or thermal conditions of another entity or environment.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb18c46c88190b10c05bf5c6a2d9c completed March 7, 2026, 5:03 a.m.
PD Predicate disambiguation batch_69abafe7e7e88190b58c0df59187c0c2 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb09b27e88190bff164040fef6d7e completed March 7, 2026, 4:59 a.m.
Created at: March 4, 2026, 7:35 p.m.