Triple
T17917178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lozoya River |
E447961
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Rascafría |
—
|
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: Rascafría | Statement: [Lozoya River, passesNear, Rascafría]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rascafría Context triple: [Lozoya River, passesNear, Rascafría]
-
A.
Rascafría
chosen
Rascafría is a mountain village and municipality in the Sierra de Guadarrama of central Spain, known for its natural landscapes and the nearby Monastery of El Paular.
-
B.
Churriana
Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
-
C.
Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
-
D.
Cabrils
Cabrils is a small municipality in the Maresme comarca of Catalonia, Spain, known for its residential character and proximity to the Mediterranean coast.
-
E.
Rabaçal
Rabaçal is a civil parish in the municipality of Penela in central Portugal, known for its rural landscape and historical surroundings.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30778fc81908b5b2e308fb158a5 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.