Triple
T25336739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grana Padano |
E635297
|
entity |
| Predicate | placeOfFirstProduction |
P42919
|
FINISHED |
| Object | Chiaravalle Abbey |
—
|
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: Chiaravalle Abbey | Statement: [Grana Padano, placeOfFirstProduction, Chiaravalle Abbey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfFirstProduction Context triple: [Grana Padano, placeOfFirstProduction, Chiaravalle Abbey]
-
A.
firstProductionPlace
chosen
Indicates the location where something was originally or first produced.
-
B.
wasFirstProducedBy
Indicates that something (such as a product, work, or item) was initially created, manufactured, or brought into existence by a particular agent, organization, or producer.
-
C.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
D.
firstMajorProductionLocation
Indicates the location where an entity’s first major production or large-scale manufacturing activity took place.
-
E.
firstMassProductionBy
Indicates that the subject is the first entity to mass-produce the object or technology referenced.
- 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 21, 2026, 1:32 p.m.