Triple
T5514627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinda Coral |
E144650
|
entity |
| Predicate | approximateHue |
P35454
|
FINISHED |
| Object | pinkish-orange |
—
|
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: pinkish-orange | Statement: [Kinda Coral, approximateHue, pinkish-orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateHue Context triple: [Kinda Coral, approximateHue, pinkish-orange]
-
A.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
B.
isShadeOf
chosen
Indicates that one entity represents a specific tonal or color variation derived from or closely related to another entity.
-
C.
approximateDirection
Indicates that one entity is located in a general or rough directional relation (e.g., roughly north, south, etc.) relative to another entity, without specifying an exact bearing.
-
D.
approximationType
Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
-
E.
approximateRadius
Indicates that one entity specifies or provides an estimated value for the radius of 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.