Triple
T3418075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zinfandel |
E72056
|
entity |
| Predicate | harvestCharacteristic |
P23127
|
FINISHED |
| Object | uneven ripening of grape clusters |
—
|
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: uneven ripening of grape clusters | Statement: [Zinfandel, harvestCharacteristic, uneven ripening of grape clusters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harvestCharacteristic Context triple: [Zinfandel, harvestCharacteristic, uneven ripening of grape clusters]
-
A.
harvestCondition
chosen
Indicates the specific circumstances or criteria under which a harvest may or should be carried out.
-
B.
viticulturalCharacteristic
Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
-
C.
fruitCharacteristic
Indicates that a specified characteristic or property is attributed to a particular fruit.
-
D.
isHarvestedBy
Indicates that something (typically a resource, crop, or material) is collected or gathered through the actions of a particular agent or method.
-
E.
farmingCharacteristics
Indicates the specific methods, practices, or attributes that characterize how farming is conducted in relation to 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb92df1e48190bbf22a47e44579f1 |
completed | March 8, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.