Triple
T17604299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscadinia |
E428785
|
entity |
| Predicate | hasBerrySkinCharacteristic |
P31173
|
FINISHED |
| Object | thick skin |
—
|
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: thick skin | Statement: [Muscadinia, hasBerrySkinCharacteristic, thick skin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBerrySkinCharacteristic Context triple: [Muscadinia, hasBerrySkinCharacteristic, thick skin]
-
A.
colorOfBerrySkin
Indicates the specific color that characterizes the outer skin of a berry.
-
B.
hasPhysicalFeature
chosen
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
C.
hasPigment
Indicates that one entity contains, incorporates, or is characterized by a particular pigment.
-
D.
isCherrySpecies
Indicates that one entity is a biological species classified as a type of cherry in relation to another entity.
-
E.
hasFruitType
Indicates that an entity possesses or is associated with a specific type or category of fruit.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4b4ee88190827ea28b99ca6f33 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.