Triple
T31703981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Pavie |
E809130
|
entity |
| Predicate | hasGrandVin |
P37645
|
FINISHED |
| Object | Château Pavie (Grand Vin) |
—
|
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: Château Pavie (Grand Vin) | Statement: [Château Pavie, hasGrandVin, Château Pavie (Grand Vin)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrandVin Context triple: [Château Pavie, hasGrandVin, Château Pavie (Grand Vin)]
-
A.
hasGrandCru
Indicates that an entity possesses, is associated with, or includes a wine classified as Grand Cru.
-
B.
recognizedAsGrandCruSince
Indicates that an entity has held the official status or classification of Grand Cru starting from a specified point in time.
-
C.
hasPremierCruClassé
Indicates that an entity holds or is assigned a Premier Cru Classé classification or status.
-
D.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
E.
hasWineBrand
chosen
Indicates a relationship where an entity is associated with or offers a specific wine brand.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 30, 2026, 11:13 p.m.