Triple
T18768014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Rodadero |
E458939
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Playa Blanca |
—
|
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: Playa Blanca | Statement: [El Rodadero, hasNearbyAttraction, Playa Blanca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Playa Blanca Context triple: [El Rodadero, hasNearbyAttraction, Playa Blanca]
-
A.
Playa Blanca
Playa Blanca is a popular seaside resort town on the southern coast of Lanzarote in Spain’s Canary Islands, known for its beaches, marina, and tourist amenities.
-
B.
Playa Blanca
chosen
Playa Blanca is a popular white-sand beach near Santa Marta on Colombia’s Caribbean coast, known for its clear waters and tourist-friendly atmosphere.
-
C.
Playa Negra
Playa Negra is a distinctive black-sand beach on the island of Vieques in Puerto Rico, known for its dark volcanic sands and striking coastal scenery.
-
D.
Playa Negra
Playa Negra is a popular black-sand lakeside beach and recreational spot on the shores of Caburgua Lake in southern Chile.
-
E.
Playa Negra
Playa Negra is a popular black-sand beach and coastal attraction in the Chilean seaside town of Concón.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d859c8081909cec3aa64d264885 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.