Triple
T13529722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Fortuna Waterfall |
E323099
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | La Fortuna |
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 | Statement: [La Fortuna Waterfall, locatedIn, La Fortuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Fortuna Context triple: [La Fortuna Waterfall, locatedIn, La Fortuna]
-
A.
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.
-
B.
La Fortuna
La Fortuna is a Madrid Metro station serving the La Fortuna neighborhood in the city’s southwestern outskirts.
-
C.
La Chorrera
La Chorrera is a rapidly growing city in central Panama, known as a major suburban and commercial hub west of Panama City.
-
D.
Vallehermoso
Vallehermoso is a coastal agricultural municipality in northern Negros Oriental in the Philippines, known for its rural landscapes and proximity to the Tanon Strait.
-
E.
Vallehermoso
Vallehermoso is a rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes, traditional villages, and terraced agriculture.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942668f481909c6d892fdfd32c02 |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:44 p.m.