Triple
T20326836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RR Lyrae variable star |
E492359
|
entity |
| Predicate | typicalEffectiveTemperatureRange |
P9975
|
FINISHED |
| Object | about 6000 to 7500 K |
—
|
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 6000 to 7500 K | Statement: [RR Lyrae variable star, typicalEffectiveTemperatureRange, about 6000 to 7500 K]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEffectiveTemperatureRange Context triple: [RR Lyrae variable star, typicalEffectiveTemperatureRange, about 6000 to 7500 K]
-
A.
hasEffectiveTemperature
Indicates that an entity (typically a star or other astronomical object) possesses a specific effective surface temperature characterizing its emitted radiation.
-
B.
surfaceTemperatureRange
chosen
Indicates the range between the minimum and maximum surface temperatures observed or allowed for an entity.
-
C.
minSurfaceTemperature
Indicates the lowest temperature value observed or allowed on the surface of an object or environment.
-
D.
hasLowerSurfaceTemperatureThan
Indicates that the surface temperature of one entity is lower than the surface temperature of another entity.
-
E.
typicalMassRange
Indicates the usual or expected range of mass values associated with an entity.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e4130081909ec54f131939e442 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:21 a.m.