Triple
T33982601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landmark Vineyards |
E871323
|
entity |
| Predicate | offersWineClub |
P56854
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Landmark Vineyards, offersWineClub, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersWineClub Context triple: [Landmark Vineyards, offersWineClub, true]
-
A.
offersMemberships
chosen
Indicates that an entity provides or makes available membership options or programs to other entities.
-
B.
offersWinePairing
Indicates that one entity provides or suggests a complementary wine selection to accompany another entity, such as a dish, meal, or menu.
-
C.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
D.
offersProgram
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
E.
offersPass
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 1, 2026, 1:50 a.m.