Triple
T156177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun |
E3186
|
entity |
| Predicate | effectiveTemperature |
P4459
|
FINISHED |
| Object | approximately 5778 kelvin |
—
|
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: approximately 5778 kelvin | Statement: [Sun, effectiveTemperature, approximately 5778 kelvin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectiveTemperature Context triple: [Sun, effectiveTemperature, approximately 5778 kelvin]
-
A.
hasTemperature
chosen
Indicates that an entity possesses or is characterized by a specific temperature value.
-
B.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
C.
operatingTemperature
Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
-
D.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
E.
recordedTemperatureRegion
Indicates that a particular temperature measurement was recorded for or associated with a specific geographic region.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2565ded588190a27319aaa0130b4f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.