Triple
T15692355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oban Distillery |
E380361
|
entity |
| Predicate | hasWashbacksMaterial |
P120308
|
FINISHED |
| Object | wooden washbacks |
—
|
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: wooden washbacks | Statement: [Oban Distillery, hasWashbacksMaterial, wooden washbacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWashbacksMaterial Context triple: [Oban Distillery, hasWashbacksMaterial, wooden washbacks]
-
A.
usesWashbacks
Indicates that one entity employs or applies washbacks (such as feedback or consequential effects) in relation to another entity or process.
-
B.
hasWashStills
Indicates that an entity possesses or is equipped with wash stills used in distillation.
-
C.
hasBankMaterial
Indicates that something is made of, or incorporates, a specified banking-related material or substance.
-
D.
hasReconstructionMaterial
Indicates that something is associated with, composed of, or utilizes a particular material for its reconstruction.
-
E.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:44 a.m.