Triple
T21299324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laphroaig 25 Year Old |
E525012
|
entity |
| Predicate | peatLevel |
P143641
|
FINISHED |
| Object | heavily peated |
—
|
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: heavily peated | Statement: [Laphroaig 25 Year Old, peatLevel, heavily peated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peatLevel Context triple: [Laphroaig 25 Year Old, peatLevel, heavily peated]
-
A.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
B.
repetitionCount
Indicates the number of times a particular event, action, or pattern is repeated within a given context.
-
C.
repetitionPattern
Indicates a recurring structure or sequence in which an action, event, or element is repeated over time or across instances.
-
D.
repeatUnitLength
Indicates the length or size of a unit that is repeated within a larger pattern, sequence, or structure.
-
E.
peatSource
Indicates that one entity serves as the origin or provider of peat for another entity or context.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385b1c548190b940ded0163ee3ca |
completed | April 21, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:05 p.m.