Triple
T5088796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 2 (Blue, Red and Green) |
E114702
|
entity |
| Predicate | colorUsed |
P60
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [No. 2 (Blue, Red and Green), colorUsed, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorUsed Context triple: [No. 2 (Blue, Red and Green), colorUsed, blue]
-
A.
colorOftenUsed
Indicates that a particular color is frequently used or commonly applied in relation to something.
-
B.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
D.
colorCharge
Indicates a relationship where an entity possesses a specific quantum color charge (such as red, green, or blue) in the context of strong nuclear interactions.
-
E.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd753f6544819090c028b34ee87536 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.