Triple
T5245230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardbeg distillery |
E118441
|
entity |
| Predicate | hasWarehouseType |
P2836
|
FINISHED |
| Object | dunnage warehouses |
—
|
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: dunnage warehouses | Statement: [Ardbeg distillery, hasWarehouseType, dunnage warehouses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWarehouseType Context triple: [Ardbeg distillery, hasWarehouseType, dunnage warehouses]
-
A.
hasFacilityType
chosen
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
B.
hasShippingLaneType
Indicates the specific category or type of shipping lane associated with a given route or area.
-
C.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
D.
hasWallType
Indicates the specific kind or classification of wall associated with an entity.
-
E.
hasBenchType
Indicates that an entity is associated with or characterized by a specific type or category of bench.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b515edc8190a9db198d4eb1c4f6 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.