Triple
T18772369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melotte 13 and Melotte 14 |
E459046
|
entity |
| Predicate | typeOfStarsDominant |
P6955
|
FINISHED |
| Object | hot blue 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: hot blue stars | Statement: [Melotte 13 and Melotte 14, typeOfStarsDominant, hot blue stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStarsDominant Context triple: [Melotte 13 and Melotte 14, typeOfStarsDominant, hot blue stars]
-
A.
dominantSpectralType
chosen
Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
-
B.
dominantGalaxy
Indicates that one galaxy exerts a dominant influence or control over another galaxy, such as through gravitational effects or hierarchical structure within a system.
-
C.
starType
Indicates the classification relationship specifying what type or category of star an astronomical object is.
-
D.
spectralClass
Indicates the classification of an astronomical object based on the characteristics of its spectrum, such as temperature and spectral features.
-
E.
trumplerClassification
Indicates the classification of a star cluster according to the Trumpler system, describing its concentration, range of brightness, and richness.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59336a6b08190819595a55177264e |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.