Triple
T24894410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Favorita |
E623095
|
entity |
| Predicate | grownInCountryRegion |
P95212
|
FINISHED |
| Object | Piedmont, Italy |
—
|
NE NERFINISHED |
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: Piedmont, Italy | Statement: [Favorita, grownInCountryRegion, Piedmont, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grownInCountryRegion Context triple: [Favorita, grownInCountryRegion, Piedmont, Italy]
-
A.
cultivatedInRegion
chosen
Indicates that something (such as a crop or plant) is grown or produced through cultivation within a specified geographic region.
-
B.
locatedInAgriculturalRegion
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
-
C.
homeCountryRegion
Indicates the country or broader geographic region that is considered the primary home or origin of an entity.
-
D.
cultivatedInCountry
Indicates that something (such as a crop, plant, or organism) is grown or produced through cultivation within the specified country.
-
E.
traditionalLifestyleRegion
Indicates that a region is characterized by or associated with a traditional lifestyle or way of living.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:26 a.m.