Triple
T4619061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaus Australis |
E100934
|
entity |
| Predicate | hasLuminosity_solarLuminosity |
P7281
|
FINISHED |
| Object | about 375 |
—
|
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 375 | Statement: [Kaus Australis, hasLuminosity_solarLuminosity, about 375]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLuminosity_solarLuminosity Context triple: [Kaus Australis, hasLuminosity_solarLuminosity, about 375]
-
A.
luminosityRelativeToSun
chosen
Indicates how bright an object is compared to the Sun, expressed as a ratio of their luminosities.
-
B.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple of the Sun’s mass.
-
C.
luminosity_W
Indicates the luminosity of an object measured in watts, representing the total power it emits as electromagnetic radiation.
-
D.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
-
E.
totalMass_solarMasses
Indicates the total mass of an object or system expressed in units of solar masses (multiples of the Sun’s mass).
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e3e6948190925e2cfad20dcc8c |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.