Triple
T23331467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Latina |
E591454
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object | Cava Baja |
—
|
NE NERFINISHED |
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 Baja | Statement: [La Latina, hasStreet, Cava Baja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cava Baja Context triple: [La Latina, hasStreet, Cava Baja]
-
A.
Cava Baja
chosen
Cava Baja is a famous, centuries-old street in Madrid’s historic center known for its traditional taverns, tapas bars, and vibrant nightlife.
-
B.
La Cava
La Cava is a surname most notably associated with American film director Gregory La Cava, known for his influential work in early 20th-century cinema.
-
C.
Cava
Cava is a small, sparsely populated island in the Orkney archipelago of Scotland, known for its rugged coastline and pastoral landscape.
-
D.
Cava
Cava is a fast-casual restaurant chain specializing in customizable Mediterranean-inspired bowls, pitas, and salads.
-
E.
Capalonga
Capalonga is a coastal municipality in the Philippine province of Camarines Norte known for its fishing communities, natural attractions, and religious pilgrimage sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197edfbbc81908cb56507cd280737 |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:15 p.m.