Triple

T13506764
Position Surface form Disambiguated ID Type / Status
Subject Arenal Hanging Bridges E321031 entity
Predicate near P350 FINISHED
Object La Fortuna town center E321026 NE FINISHED

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: La Fortuna town center | Statement: [Arenal Hanging Bridges, near, La Fortuna town center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Fortuna town center
Context triple: [Arenal Hanging Bridges, near, La Fortuna town center]
  • A. La Fortuna
    La Fortuna is a Madrid Metro station serving the La Fortuna neighborhood in the city’s southwestern outskirts.
  • B. La Fortuna chosen
    La Fortuna is a popular Costa Rican town known as the main gateway to Arenal Volcano and its surrounding hot springs and adventure tourism.
  • C. San Juan de Baños
    San Juan de Baños is one of the oldest surviving churches in Spain, a 7th-century Visigothic basilica renowned for its early medieval architecture and historical significance.
  • D. Caibarién town
    Caibarién is a coastal town in central Cuba known historically as a fishing and port community with a strong maritime and sugar-exporting tradition.
  • E. Baños de Agua Santa
    Baños de Agua Santa is a popular Ecuadorian tourist town known for its hot springs, adventure sports, and proximity to the active Tungurahua volcano.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8239c481909faf5a9c403b55f2 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:43 p.m.