Triple
T18772378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melotte 13 and Melotte 14 |
E459046
|
entity |
| Predicate | hasColorAppearance |
P69944
|
FINISHED |
| Object | predominantly blue-white 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: predominantly blue-white stars | Statement: [Melotte 13 and Melotte 14, hasColorAppearance, predominantly blue-white stars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorAppearance Context triple: [Melotte 13 and Melotte 14, hasColorAppearance, predominantly blue-white stars]
-
A.
hasApparentColor
chosen
Indicates that an entity is perceived to have a particular color under given viewing or observational conditions.
-
B.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
C.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
D.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
E.
containsColor
Indicates that one entity includes or exhibits the color specified by 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_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.