Triple
T19056060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Roses Distillery |
E466397
|
entity |
| Predicate | warehouseType |
P134925
|
FINISHED |
| Object | single-story rickhouses |
—
|
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: single-story rickhouses | Statement: [Four Roses Distillery, warehouseType, single-story rickhouses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warehouseType Context triple: [Four Roses Distillery, warehouseType, single-story rickhouses]
-
A.
storageFacility
Indicates a relationship where one entity serves as a place or facility used to store another entity or its items.
-
B.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
C.
canBeStoredOn
Indicates that one entity is capable of being placed, kept, or maintained on another entity as a storage location.
-
D.
store
Indicates that one entity keeps or holds another entity in a place or system for future use or access.
-
E.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc056b708190a2b84cbddf0fc2d9 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4c0fc3c4c8190abbfe06e1bd3325c |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:03 p.m.