Triple
T34270775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Dauzac |
E879306
|
entity |
| Predicate | plantedVarietiesSecondary |
P165239
|
FINISHED |
| Object | Merlot |
—
|
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: Merlot | Statement: [Château Dauzac, plantedVarietiesSecondary, Merlot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantedVarietiesSecondary Context triple: [Château Dauzac, plantedVarietiesSecondary, Merlot]
-
A.
growsVariety
chosen
Indicates that one entity cultivates or produces a specific variety or type of another entity.
-
B.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
-
C.
cultivatedSpecies
Indicates that one entity is a species that is intentionally grown or cultivated by another entity.
-
D.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
E.
horticultureProduct
Indicates a relationship where something is a product or output resulting from horticultural activities or cultivation.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:56 a.m.