Triple
T5747123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amorphophallus titanum |
E126761
|
entity |
| Predicate | thermogenic |
P10929
|
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: [Amorphophallus titanum, thermogenic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermogenic Context triple: [Amorphophallus titanum, thermogenic, true]
-
A.
metabolismType
Indicates the kind of metabolic process or pathway an entity uses to obtain and transform energy or nutrients.
-
B.
usesThermals
Indicates that one entity relies on rising warm air currents (thermals) as a means to gain lift, move, or maintain altitude.
-
C.
isEndothermic
chosen
Indicates that an organism or system generates and maintains its body temperature internally through metabolic heat production.
-
D.
warmBlooded
Indicates that an organism maintains a relatively constant internal body temperature through internal metabolic processes, regardless of external environmental temperatures.
-
E.
thermalPower
Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.