Triple
T17617650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrier-Jouët |
E429125
|
entity |
| Predicate | offersTourismExperience |
P6209
|
FINISHED |
| Object | cellar tours |
—
|
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: cellar tours | Statement: [Perrier-Jouët, offersTourismExperience, cellar tours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersTourismExperience Context triple: [Perrier-Jouët, offersTourismExperience, cellar tours]
-
A.
offersAttraction
Indicates that one entity provides or presents an attraction, such as an activity, feature, or point of interest, to another entity or audience.
-
B.
offersTours
chosen
Indicates that one entity provides or makes available guided tours or tour services to another entity.
-
C.
offersDayPlacesTo
Indicates that one entity provides or makes available daytime places or slots to another entity.
-
D.
tourismEvent
Indicates an event or activity that is organized for or significantly involves tourism, attracting visitors for leisure, cultural, or recreational purposes.
-
E.
offersDayPlaces
Indicates that an entity provides or makes available daytime places or slots (e.g., for care, activities, or services) to others.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d33a2b081908deecee773c333af |
completed | April 19, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:51 a.m.