Triple
T16782018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Pobla de Massaluca |
E407878
|
entity |
| Predicate | hasWineTradition |
P59581
|
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: [La Pobla de Massaluca, hasWineTradition, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWineTradition Context triple: [La Pobla de Massaluca, hasWineTradition, yes]
-
A.
hasWineMakingTradition
chosen
Indicates that a place or group has an established, culturally recognized history and practice of producing wine.
-
B.
nationalWineTradition
Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
-
C.
hasWineCategory
Indicates that one entity is classified under, or associated with, a particular category or type of wine.
-
D.
wineCountry
Indicates that a location is recognized as a region where wine is produced, typically known for its vineyards and wineries.
-
E.
passesThroughWineRegion
Indicates that something (such as a route, path, or boundary) traverses or goes through a geographic area recognized as a wine-producing region.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b217b2108190bbba262a3b324509 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.