Triple
T23244517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 畢宿五 |
E581546
|
entity |
| Predicate | 光度分類 |
P22859
|
FINISHED |
| Object | III 級巨星 |
—
|
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: III 級巨星 | Statement: [畢宿五, 光度分類, III 級巨星]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 光度分類 Context triple: [畢宿五, 光度分類, III 級巨星]
-
A.
spectralClass
Indicates the classification of an astronomical object based on the characteristics of its spectrum, such as temperature and spectral features.
-
B.
dominantSpectralType
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
-
C.
luminosityClass
chosen
Indicates the stellar luminosity classification that specifies a star’s intrinsic brightness and evolutionary stage.
-
D.
trumplerClassification
Indicates the classification of a star cluster according to the Trumpler system, describing its concentration, range of brightness, and richness.
-
E.
spectralTypeACharacteristic
Indicates that an entity has a characteristic or property associated with spectral type A (e.g., typical of A-type spectra).
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193ee37c8819091f799506fa532da |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.