Triple
T34324389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 204075 |
E880826
|
entity |
| Predicate | hasSpectralTypeComponentA |
P196297
|
FINISHED |
| Object | G8II |
—
|
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: G8II | Statement: [HD 204075, hasSpectralTypeComponentA, G8II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpectralTypeComponentA Context triple: [HD 204075, hasSpectralTypeComponentA, G8II]
-
A.
hasSpectralTypeRange
Indicates that an entity is associated with a specified range of spectral types rather than a single, discrete spectral classification.
-
B.
hasSpectroscopicBinaryType
Indicates that an entity is classified as a spectroscopic binary of a specific type, based on characteristics observed in its spectrum.
-
C.
spectralTypeACharacteristic
Indicates that an entity has a characteristic or property associated with spectral type A (e.g., typical of A-type spectra).
-
D.
spectralTypeOfCompanion
Indicates the spectral classification assigned to a companion object in a system, describing the type of its electromagnetic spectrum.
-
E.
spectralTypesPresent
Indicates that certain spectral types are present or occur within a given context or set of entities.
- F. None of above. chosen
Provenance (4 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69fe1fd58ad8819093d3d705e8521014 |
completed | May 8, 2026, 5:39 p.m. |
Created at: May 1, 2026, 1:58 a.m.