Triple
T5363415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunki |
E103073
|
entity |
| Predicate | luminosity_solarLuminosities |
P7281
|
FINISHED |
| Object | ~3300 |
—
|
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: ~3300 | Statement: [Nunki, luminosity_solarLuminosities, ~3300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: luminosity_solarLuminosities Context triple: [Nunki, luminosity_solarLuminosities, ~3300]
-
A.
luminosityRelativeToSun
chosen
Indicates how bright an object is compared to the Sun, expressed as a ratio of their luminosities.
-
B.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
-
C.
stellarMass_solarMasses
Indicates the mass of a star expressed as a multiple of the Sun’s mass.
-
D.
totalMass_solarMasses
Indicates the total mass of an object or system expressed in units of solar masses (multiples of the Sun’s mass).
-
E.
gasMass_solarMasses
Indicates the amount of gas associated with an entity, expressed as a mass measured in units of solar masses.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd865b9b808190a1e8c283ba28d645 |
completed | March 20, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69bd845f41f88190b75b8b64b9e41862 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:02 p.m.