Triple
T15372260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | parish of Walls and Flotta |
E367578
|
entity |
| Predicate | civilParishFor |
P78401
|
FINISHED |
| Object | Cava |
E1152473
|
NE 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: Cava | Statement: [parish of Walls and Flotta, civilParishFor, Cava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cava Context triple: [parish of Walls and Flotta, civilParishFor, Cava]
-
A.
Cava
chosen
Cava is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged coastline and pastoral landscape.
-
B.
Cava
Cava is a fast-casual restaurant chain specializing in customizable Mediterranean-inspired bowls, pitas, and salads.
-
C.
Cava DO
Cava DO is a Spanish Denomination of Origin best known for its traditional-method sparkling wines produced primarily in Catalonia and other authorized regions of Spain.
-
D.
Cava Baja
Cava Baja is a famous, centuries-old street in Madrid’s historic center known for its traditional taverns, tapas bars, and vibrant nightlife.
-
E.
Tarragona DO
Tarragona DO is a Spanish Denominación de Origen wine region in Catalonia known for producing a range of red, white, and fortified wines influenced by its Mediterranean climate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13457418819088232270b092c969 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.