Triple

T25271733
Position Surface form Disambiguated ID Type / Status
Subject Aspidites E633585 entity
Predicate hasHeatSensingPits P162997 FINISHED
Object false 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: false | Statement: [Aspidites, hasHeatSensingPits, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHeatSensingPits
Context triple: [Aspidites, hasHeatSensingPits, false]
  • A. hasThermalCharacteristic
    Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
  • B. hasPlatformHeaters
    Indicates that a platform is equipped with heaters to provide warmth or prevent ice and snow accumulation.
  • C. hasPit
    Indicates that one entity possesses, contains, or is characterized by a pit or hollow space.
  • D. hasThermalActivity
    Indicates that an entity exhibits or is associated with heat-related phenomena such as heating, cooling, or temperature change.
  • E. usesThermals
    Indicates that one entity relies on rising warm air currents (thermals) as a means to gain lift, move, or maintain altitude.
  • 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_69e75a92f48881909974ff9c11150a2e completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f63639a84c81909d700a539b458b42 completed May 2, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69f63182f1408190bddc1214fcbd6145 completed May 2, 2026, 5:16 p.m.
PDg Predicate description generation batch_69f6352df6148190bc10772cd40bd7b3 completed May 2, 2026, 5:32 p.m.
Created at: April 21, 2026, 1:16 p.m.