Triple
T1054074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burmese python |
E22761
|
entity |
| Predicate | thermoregulation |
P9108
|
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: [Burmese python, thermoregulation, ectothermic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermoregulation Context triple: [Burmese python, thermoregulation, ectothermic]
-
A.
bodyTemperatureRegulation
chosen
Indicates how an entity controls or maintains its internal body temperature in response to environmental conditions.
-
B.
thermoregulationOfNest
Indicates the relationship in which an entity regulates or influences the temperature conditions within a nest.
-
C.
coreTemperature
Indicates that an entity has a specific internal or central temperature value.
-
D.
respiration
Indicates the biological process by which an organism exchanges gases with its environment and converts nutrients into usable energy.
-
E.
temperatureControlMethod
Indicates the method or mechanism used to regulate or maintain a desired temperature.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.