Triple
T24310782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvareli wine cellars |
E612666
|
entity |
| Predicate | tunnelUse |
P155518
|
FINISHED |
| Object | wine aging |
—
|
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: wine aging | Statement: [Kvareli wine cellars, tunnelUse, wine aging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelUse Context triple: [Kvareli wine cellars, tunnelUse, wine aging]
-
A.
usesTunnel
Indicates that one entity makes use of a tunnel as a passage or route to reach or connect to another entity.
-
B.
tunnelType
Indicates the specific kind or classification of a tunnel associated with an entity.
-
C.
tunnelAllows
Indicates that a tunnel provides a passage or route that permits movement, access, or flow between two locations or entities.
-
D.
tunnels
Indicates that one entity passes through, under, or within another entity via a tunnel-like passage or structure.
-
E.
tunnelOperationMode
Indicates the specific operational state or mode in which a tunnel system or tunnel-related process is currently functioning.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922a6afc8190b02cc2d185d15a45 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:34 a.m.