Triple
T23162599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de Cádiz |
E578625
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | El Gastor |
—
|
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: El Gastor | Statement: [Sierra de Cádiz, contains, El Gastor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Gastor Context triple: [Sierra de Cádiz, contains, El Gastor]
-
A.
El Gastor
chosen
El Gastor is a small whitewashed hilltop village in Andalusia, Spain, known for its scenic views over the Zahara-El Gastor reservoir and traditional rural charm.
-
B.
La Muña
La Muña is an archaeological site located within Peru’s Nazca drainage region, associated with the ancient cultures that inhabited the south-central Andean coast.
-
C.
El Catllar
El Catllar is a municipality in the Tarragonès region of Catalonia, Spain, known for its historic castle and Mediterranean rural surroundings.
-
D.
El Boquerón
El Boquerón is the prominent volcanic crater and surrounding national park located on the San Salvador Volcano in El Salvador.
-
E.
La Blanquilla
La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.