Triple
T7277779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gluon |
E163072
|
entity |
| Predicate | hasColorStates |
P52512
|
FINISHED |
| Object | eight gluon color combinations |
—
|
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: eight gluon color combinations | Statement: [gluon, hasColorStates, eight gluon color combinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorStates Context triple: [gluon, hasColorStates, eight gluon color combinations]
-
A.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
B.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
C.
hasColorRange
chosen
Indicates that an entity possesses or is associated with a specific span or set of colors, rather than a single discrete color.
-
D.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
-
E.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.