Triple
T22755287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamma Monocerotis |
E562824
|
entity |
| Predicate | photosphericTemperatureKelvin |
P21597
|
FINISHED |
| Object | about 4800 |
—
|
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 4800 | Statement: [Gamma Monocerotis, photosphericTemperatureKelvin, about 4800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photosphericTemperatureKelvin Context triple: [Gamma Monocerotis, photosphericTemperatureKelvin, about 4800]
-
A.
photosphereTemperature_K
chosen
Indicates the temperature, measured in kelvins, of an object's photosphere where most of its visible light is emitted.
-
B.
surfaceTemperature_K
Indicates the temperature of a surface expressed in kelvins.
-
C.
hasEffectiveTemperature
Indicates that an entity (typically a star or other astronomical object) possesses a specific effective surface temperature characterizing its emitted radiation.
-
D.
maxSurfaceTemperature
Indicates the highest temperature that the surface of an entity can reach or sustain under specified conditions.
-
E.
minSurfaceTemperature
Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bc48788190b3deb9287d02cb2c |
completed | April 29, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:25 p.m.