Triple
T5280716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laphroaig distillery |
E119488
|
entity |
| Predicate | hasWashStills |
P63837
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Laphroaig distillery, hasWashStills, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWashStills Context triple: [Laphroaig distillery, hasWashStills, 3]
-
A.
isRinseRequired
Indicates that an item or surface must be rinsed, typically with water, as a required step in a process or procedure.
-
B.
isWetProcessed
Indicates that an entity has undergone a wet (water-based) processing method rather than a dry or alternative processing method.
-
C.
hasPhotographicProcess
Indicates that something is associated with, created by, or characterized through a specific photographic process or technique.
-
D.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
E.
hasFrescoes
Indicates that something contains or is adorned with fresco paintings as part of its structure or decoration.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8c9b82ac819080e798713c0bb4d8 |
completed | March 20, 2026, 6:06 p.m. |
Created at: March 20, 2026, 1:52 p.m.