Triple
T8168555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbeltown |
E190756
|
entity |
| Predicate | hasWhiskyRegionStatus |
P81067
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Campbeltown, hasWhiskyRegionStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWhiskyRegionStatus Context triple: [Campbeltown, hasWhiskyRegionStatus, true]
-
A.
wineRegionStatus
Indicates the official classification or recognition status assigned to a wine-producing region.
-
B.
hasDistillery
Indicates that one entity owns, operates, or is associated with a distillery as a facility or production site.
-
C.
hasWineDenomination
Indicates that a wine is classified under a specific official denomination or appellation.
-
D.
hasNearbyDistillery
Indicates that one entity is located close to or in the vicinity of a distillery.
-
E.
wineRegulationBody
Indicates that a regulatory organization has authority over the production, labeling, or distribution standards for a particular wine or wine-producing region.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb40a017608190b6b48cf60335fa8d |
completed | March 31, 2026, 3:33 a.m. |
Created at: March 30, 2026, 5:39 p.m.