Triple
T18956838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 26 |
E463800
|
entity |
| Predicate | brightnessClass |
P60001
|
FINISHED |
| Object | moderately bright open cluster |
—
|
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: moderately bright open cluster | Statement: [Messier 26, brightnessClass, moderately bright open cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brightnessClass Context triple: [Messier 26, brightnessClass, moderately bright open cluster]
-
A.
surfaceBrightnessClass
chosen
Indicates the qualitative classification of how bright an extended object (such as a galaxy) appears per unit area on the sky.
-
B.
brightnessVariation
Indicates a change or fluctuation in the level of brightness of an entity over time or across conditions.
-
C.
isBright
Indicates that an entity emits or reflects a high level of light, making it visually intense or luminous.
-
D.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
E.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cdf2d08190a0aecd3fa5335a75 |
completed | April 20, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon