Triple
T23096477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de Grazalema Natural Park |
E575902
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Prado del Rey |
—
|
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: Prado del Rey | Statement: [Sierra de Grazalema Natural Park, nearbySettlement, Prado del Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prado del Rey Context triple: [Sierra de Grazalema Natural Park, nearbySettlement, Prado del Rey]
-
A.
Prado del Rey
chosen
Prado del Rey is a small Andalusian town in the province of Cádiz, Spain, known for its whitewashed houses and scenic setting within the Sierra de Grazalema region.
-
B.
Prado Coapa
Prado Coapa is a residential neighborhood within the Coapa area of southern Mexico City, known for its housing complexes, local commerce, and proximity to major urban amenities.
-
C.
Prado
Prado is a Spanish surname borne by various notable individuals across fields such as politics, arts, and sports.
-
D.
Prado
Prado is a neighborhood within the Brazilian city of Recife, known for its urban residential character and local commerce.
-
E.
Prado de San Sebastián
Prado de San Sebastián is a major transport hub and metro station in Seville, Spain, serving as an important interchange point near the historic city center.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de522e48190a37e6c2fda2de465 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.