Triple
T21884312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 37742 |
E540365
|
entity |
| Predicate | secondaryComponentSpectralType |
P41866
|
FINISHED |
| Object | B-type |
—
|
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: B-type | Statement: [HD 37742, secondaryComponentSpectralType, B-type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryComponentSpectralType Context triple: [HD 37742, secondaryComponentSpectralType, B-type]
-
A.
spectralTypeOfCompanion
chosen
Indicates the spectral classification assigned to a companion object in a system, describing the type of its electromagnetic spectrum.
-
B.
dominantSpectralType
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
-
C.
secondaryConstituent
Indicates that one entity functions as a secondary or subordinate component, element, or member within the structure or composition of another entity.
-
D.
spectralClass
Indicates the classification of an astronomical object based on the characteristics of its spectrum, such as temperature and spectral features.
-
E.
secondaryMirrorDesignation
Indicates the specific label or identifier assigned to a secondary mirror in an optical or telescope system.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118eabb008190ab6f1364ef4e6feb |
completed | April 28, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:05 p.m.