Triple
T1276967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keitt mango |
E27236
|
entity |
| Predicate | ripenedSkinColor |
P8035
|
FINISHED |
| Object | green with a slight yellow or pink 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 a slight yellow or pink blush | Statement: [Keitt mango, ripenedSkinColor, green with a slight yellow or pink blush]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ripenedSkinColor Context triple: [Keitt mango, ripenedSkinColor, green with a slight yellow or pink blush]
-
A.
fleshColor
Indicates the color or hue of an entity’s flesh or skin.
-
B.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
C.
skinCharacteristic
chosen
Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
-
D.
colorOfBerrySkin
Indicates the specific color that characterizes the outer skin of a berry.
-
E.
pigmentation
Indicates the presence, type, or degree of coloration in or on an 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.