Triple
T28419688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Scotia Distillery |
E719905
|
entity |
| Predicate | hasCampbeltownIdentity |
P190483
|
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: [Glen Scotia Distillery, hasCampbeltownIdentity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampbeltownIdentity Context triple: [Glen Scotia Distillery, hasCampbeltownIdentity, yes]
-
A.
hasLoch
Indicates that one entity possesses, contains, or features a loch (lake or sea inlet) as part of its characteristics or composition.
-
B.
hasAncestralHarbour
Indicates that an entity has a harbour that historically served as the origin or ancestral port associated with it.
-
C.
hasBlueBoatRelationship
Indicates a relationship in which one entity possesses, controls, or is associated with a boat that is characterized by the color blue.
-
D.
containsCape
Indicates that one entity includes or has a cape as part of it or associated with it.
-
E.
hasBrig
Indicates that an entity possesses, contains, or is equipped with a brig (a jail or detention area).
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fcc7779d248190afdb348a95375443 |
completed | May 7, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
| PDg | Predicate description generation | batch_69fcc73264e08190b0b5917f32226fae |
completed | May 7, 2026, 5:09 p.m. |
Created at: April 28, 2026, 1:32 a.m.