Triple
T6169786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McWilliam’s Wines (Hanwood near Griffith) |
E137662
|
entity |
| Predicate | nearWineRegionTown |
P69190
|
FINISHED |
| Object | Griffith wine region hub |
—
|
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: Griffith wine region hub | Statement: [McWilliam’s Wines (Hanwood near Griffith), nearWineRegionTown, Griffith wine region hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearWineRegionTown Context triple: [McWilliam’s Wines (Hanwood near Griffith), nearWineRegionTown, Griffith wine region hub]
-
A.
nearWineRegion
Indicates that one entity is located close to or in the vicinity of a wine-producing region.
-
B.
wineAppellation
Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
-
C.
wineRegion
Indicates the geographical region or area where a particular wine is produced or originates.
-
D.
isWineRegionCenter
Indicates that a location serves as the central or principal area of a specified wine-producing region.
-
E.
hasLargestWinegrowingCommune
Indicates that one entity possesses or contains the largest winegrowing commune in comparison to other relevant entities.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d8f97708190bebbc49c4a56c8a5 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.