Triple
T7293605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangifera indica 'Tommy Atkins' |
E164459
|
entity |
| Predicate | fruitSkinColor |
P75434
|
FINISHED |
| Object | red blush over green to yellow background |
—
|
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: red blush over green to yellow background | Statement: [Mangifera indica 'Tommy Atkins', fruitSkinColor, red blush over green to yellow background]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitSkinColor Context triple: [Mangifera indica 'Tommy Atkins', fruitSkinColor, red blush over green to yellow background]
-
A.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
B.
fleshColor
Indicates the color or hue of an entity’s flesh or skin.
-
C.
colorOfBerrySkin
Indicates the specific color that characterizes the outer skin of a berry.
-
D.
hairColorOnScreen
Indicates the hair color that an entity appears to have when shown or rendered on a screen.
-
E.
hasColorOfNose
Indicates that one entity possesses a nose whose color matches or is characterized by the specified color entity.
- F. None of above. chosen
Provenance (4 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e82b0f9881909d29c99af1ea0dbf |
completed | March 27, 2026, 8:27 p.m. |
Created at: March 27, 2026, 3 p.m.