Triple
T4648475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 1432 |
E102230
|
entity |
| Predicate | reasonForColor |
P23298
|
FINISHED |
| Object | preferential scattering of blue light |
—
|
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: preferential scattering of blue light | Statement: [NGC 1432, reasonForColor, preferential scattering of blue light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForColor Context triple: [NGC 1432, reasonForColor, preferential scattering of blue light]
-
A.
colorationCause
chosen
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
B.
jerseyColorReason
Indicates the reason or basis for why an entity has a particular jersey color.
-
C.
colors
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
reasonForDesign
Indicates that one entity serves as the explanation, motivation, or justification for why another entity was designed or created in a particular way.
-
E.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.