Triple
T23244484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 畢宿五 |
E581546
|
entity |
| Predicate | 光譜型 |
P52318
|
FINISHED |
| Object | K5 III |
—
|
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: K5 III | Statement: [畢宿五, 光譜型, K5 III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 光譜型 Context triple: [畢宿五, 光譜型, K5 III]
-
A.
spectralClass
chosen
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.
spectralTypeACharacteristic
Indicates that an entity has a characteristic or property associated with spectral type A (e.g., typical of A-type spectra).
-
D.
spectralTypeFCharacteristic
Indicates that something exhibits characteristics typical of F-type spectral classification, such as those associated with F-type stars in astrophysics.
-
E.
spectralTypeOfIonizingStar
Indicates the spectral classification assigned to the star that provides the ionizing radiation.
- 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_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.