Triple
T23271605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Restaurant Gordon Ramsay |
E588304
|
entity |
| Predicate | hasSommelier |
P151625
|
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: [Restaurant Gordon Ramsay, hasSommelier, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSommelier Context triple: [Restaurant Gordon Ramsay, hasSommelier, yes]
-
A.
hasSparklingWine
Indicates that an entity possesses, includes, or is associated with sparkling wine.
-
B.
hasWineCategory
Indicates that one entity is classified under, or associated with, a particular category or type of wine.
-
C.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
D.
hasTastingRoom
Indicates that an establishment provides a dedicated space where visitors can sample or taste its products on-site.
-
E.
hasWinemaker
Indicates that one entity serves as the winemaker responsible for producing or overseeing the production of wine for 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957418fc819085ee528622e0c6de |
completed | April 29, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:46 p.m.