Triple
T17480572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Rican Route 34 |
E425646
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Quepos |
—
|
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: Quepos | Statement: [Costa Rican Route 34, passesNear, Quepos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quepos Context triple: [Costa Rican Route 34, passesNear, Quepos]
-
A.
Quepos
chosen
Quepos is a coastal town in Costa Rica known as the gateway to Manuel Antonio National Park and a popular destination for sport fishing and beach tourism.
-
B.
Concón
Concón is a coastal city and popular beach resort in central Chile, known for its dunes, seafood, and proximity to Viña del Mar.
-
C.
Quepos Canton
Quepos Canton is an administrative division on Costa Rica’s central Pacific coast, best known as the gateway to Manuel Antonio National Park and a popular destination for beaches, sport fishing, and ecotourism.
-
D.
Boquete
Boquete is a picturesque highland town in western Panama, renowned for its cool climate, coffee plantations, and outdoor activities such as hiking and birdwatching.
-
E.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bf1e8081909f4d4b8992412e62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.