Triple
T29400008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca Valley |
E745608
|
entity |
| Predicate | firstVineyardsPlanted |
P202906
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Casablanca Valley, firstVineyardsPlanted, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVineyardsPlanted Context triple: [Casablanca Valley, firstVineyardsPlanted, 1980s]
-
A.
hasVineyardsSince
Indicates that an entity has owned or maintained vineyards continuously since a specified point in time.
-
B.
firstCommercialVineyardsEstablishedBy
Indicates that the subject region or area had its first commercial vineyards founded or set up by the specified agent or group.
-
C.
foundedAsVineyard
Indicates that an organization, estate, or property was originally established as a vineyard.
-
D.
viticultureHistory
Indicates the historical development, practices, and events related to grape cultivation and winemaking over time.
-
E.
grapesVinifiedAt
Indicates that grapes were processed and turned into wine at a specific location or facility.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a00cda99c908190980e0bf54cb2e2a4 |
completed | May 10, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a00cd1635b08190a791ecfcf87a1d54 |
completed | May 10, 2026, 6:23 p.m. |
| PDg | Predicate description generation | batch_6a00cda8ed348190950ee34bb24ae65b |
completed | May 10, 2026, 6:25 p.m. |
Created at: April 28, 2026, 2:49 p.m.