Triple
T299250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chicken |
E6161
|
entity |
| Predicate | hasBodyTemperature |
P7283
|
FINISHED |
| Object | about 41°C |
—
|
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: about 41°C | Statement: [chicken, hasBodyTemperature, about 41°C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyTemperature Context triple: [chicken, hasBodyTemperature, about 41°C]
-
A.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
B.
coreTemperature
chosen
Indicates that an entity has a specific internal or central temperature value.
-
C.
bodyTemperatureRegulation
Indicates how an entity controls or maintains its internal body temperature in response to environmental conditions.
-
D.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
E.
operatingTemperature
Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.