Triple
T4196633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Supéry Estate Vineyards & Winery |
E89167
|
entity |
| Predicate | hasCellarDoorSales |
P54296
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [St. Supéry Estate Vineyards & Winery, hasCellarDoorSales, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCellarDoorSales Context triple: [St. Supéry Estate Vineyards & Winery, hasCellarDoorSales, yes]
-
A.
hasCellars
Indicates that one entity possesses or contains one or more cellars associated with it.
-
B.
hasTastingRoom
Indicates that an establishment provides a dedicated space where visitors can sample or taste its products on-site.
-
C.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
D.
hasDistillery
Indicates that one entity owns, operates, or is associated with a distillery as a facility or production site.
-
E.
hasDoor
Indicates that one entity possesses or is equipped with a door that provides access to or through it.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af035f9f788190a4bcfeda646fbebf |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af02e4e2308190b527e3b78eb8fa71 |
completed | March 9, 2026, 5:27 p.m. |
Created at: March 9, 2026, 3:46 p.m.