Triple

T33720614
Position Surface form Disambiguated ID Type / Status
Subject Melanatherina E864000 entity
Predicate ectothermy P54701 FINISHED
Object ectothermic 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: ectothermic | Statement: [Melanatherina, ectothermy, ectothermic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ectothermy
Context triple: [Melanatherina, ectothermy, ectothermic]
  • A. warmBlooded
    Indicates that an organism maintains a relatively constant internal body temperature through internal metabolic processes, regardless of external environmental temperatures.
  • B. isColdBlooded chosen
    Indicates that the subject has a cold-blooded (ectothermic) physiology, relying on external sources to regulate body temperature.
  • C. bodyTemperatureRegulation
    Indicates how an entity controls or maintains its internal body temperature in response to environmental conditions.
  • D. temperatureDependentSexDetermination
    Indicates that the sex of an organism is determined by the temperature conditions experienced during a critical period of its embryonic development.
  • E. vertebrate
    Indicates that the subject is an animal possessing a backbone or spinal column.
  • 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_69f34989871c81908682e22a2fe4b829 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6faeac9288190ac7ce78ea3cdb622 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f96dd4c8819093d6a7bd046a9ad5 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:44 a.m.