Triple
T1242673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent mango |
E26692
|
entity |
| Predicate | skinColorWhenRipe |
P8035
|
FINISHED |
| Object | green with yellow blush |
—
|
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: green with yellow blush | Statement: [Kent mango, skinColorWhenRipe, green with yellow blush]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skinColorWhenRipe Context triple: [Kent mango, skinColorWhenRipe, green with yellow blush]
-
A.
colorOfBerrySkin
Indicates the specific color that characterizes the outer skin of a berry.
-
B.
skinCharacteristic
chosen
Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
-
C.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
-
D.
colorationCause
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
E.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf61fadc8190b7b9e23eaa15a61d |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.