Triple
T14325070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temecula Valley Wine Country |
E355193
|
entity |
| Predicate | numberOfWineriesApprox |
P45927
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Temecula Valley Wine Country, numberOfWineriesApprox, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWineriesApprox Context triple: [Temecula Valley Wine Country, numberOfWineriesApprox, 40]
-
A.
approxNumberOfWineries
chosen
Indicates an estimated or approximate count of wineries associated with a given entity.
-
B.
hasNearbyWinery
Indicates that one entity is located close to, or in the vicinity of, a winery.
-
C.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
D.
hasWinemakingFacility
Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
-
E.
numberOfBreweries
Indicates the count of breweries associated with a given entity or within a specified context.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.