Triple
T1415638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapel Valley |
E31908
|
entity |
| Predicate | exportProduct |
P27525
|
FINISHED |
| Object | bottled wine |
—
|
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: bottled wine | Statement: [Rapel Valley, exportProduct, bottled wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportProduct Context triple: [Rapel Valley, exportProduct, bottled wine]
-
A.
productForm
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
-
B.
offersProduct
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
C.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
D.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
-
E.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c402b1648190b87802d9beb2712e |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:59 p.m.