Triple

T10855359
Position Surface form Disambiguated ID Type / Status
Subject Tungurahua E256255 entity
Predicate nearCity P350 FINISHED
Object Baños de Agua Santa E812609 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: Baños de Agua Santa | Statement: [Tungurahua, nearCity, Baños de Agua Santa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baños de Agua Santa
Context triple: [Tungurahua, nearCity, Baños de Agua Santa]
  • A. Baños de Agua Santa chosen
    Baños de Agua Santa is a popular Ecuadorian tourist town known for its hot springs, adventure sports, and proximity to the active Tungurahua volcano.
  • B. La Fortuna
    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. La Fortuna
    La Fortuna is a Madrid Metro station serving the La Fortuna neighborhood in the city’s southwestern outskirts.
  • D. Salinas de Fuencaliente
    Salinas de Fuencaliente is a historic coastal saltworks complex on the southern tip of La Palma in the Canary Islands, known for its striking salt pans, volcanic landscape, and importance to traditional salt production.
  • E. Maribaya hot springs
    Maribaya hot springs is a popular natural hot spring and waterfall resort area in the highlands near Bandung, Indonesia, known for its scenic forested landscape and outdoor recreation.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75135df24819090ce43afa3ea9b38 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb18a48248190999f95abc979fa74 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.