Triple
T19356264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Population II |
E484154
|
entity |
| Predicate | typicalStellarTypes |
P64835
|
FINISHED |
| Object | low-mass main-sequence stars |
—
|
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: low-mass main-sequence stars | Statement: [Population II, typicalStellarTypes, low-mass main-sequence stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStellarTypes Context triple: [Population II, typicalStellarTypes, low-mass main-sequence stars]
-
A.
starType
chosen
Indicates the classification relationship specifying what type or category of star an astronomical object is.
-
B.
guideStarType
Indicates the specific kind or classification of guide star associated with an astronomical observation or system.
-
C.
astronomicalType
Indicates the classification relationship that specifies what kind of astronomical object or phenomenon something is (e.g., star, galaxy, planet).
-
D.
spectralClass
Indicates the classification of an astronomical object based on the characteristics of its spectrum, such as temperature and spectral features.
-
E.
dominantSpectralType
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61908920c8190833051e30ad2420c |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd13a8cc81909cd02668564c9f29 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.