Triple
T10877928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notothenioidei |
E256845
|
entity |
| Predicate | bodyTemperatureRelation |
P39219
|
FINISHED |
| Object | body temperature close to ambient seawater temperature |
—
|
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: body temperature close to ambient seawater temperature | Statement: [Notothenioidei, bodyTemperatureRelation, body temperature close to ambient seawater temperature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyTemperatureRelation Context triple: [Notothenioidei, bodyTemperatureRelation, body temperature close to ambient seawater temperature]
-
A.
bodyTemperatureRegulation
Indicates how an entity controls or maintains its internal body temperature in response to environmental conditions.
-
B.
temperatureProportionalTo
Indicates that the temperature of one entity changes in direct proportion to the temperature of another entity.
-
C.
coreTemperature
Indicates that an entity has a specific internal or central temperature value.
-
D.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
E.
temperatureRelativeToSurroundings
chosen
Indicates how an entity’s temperature compares to that of its immediate surroundings (e.g., warmer, cooler, or equal).
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ae92548190a3563c5b18650a32 |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.