Triple
T18740366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urola River |
E458272
|
entity |
| Predicate | mouthLocatedIn |
P417
|
FINISHED |
| Object | Zumaia |
—
|
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: Zumaia | Statement: [Urola River, mouthLocatedIn, Zumaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zumaia Context triple: [Urola River, mouthLocatedIn, Zumaia]
-
A.
Zumaia
chosen
Zumaia is a coastal town in the Basque Country of northern Spain, known for its dramatic cliffs and geologically significant flysch formations along the Bay of Biscay.
-
B.
Garchitorena
Garchitorena is a coastal municipality in the province of Camarines Sur in the Bicol Region of the Philippines.
-
C.
Meanguera
Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
-
D.
Roque Nublo
Roque Nublo is a prominent volcanic rock monolith and iconic natural symbol located in the mountainous interior of Gran Canaria in Spain’s Canary Islands.
-
E.
Almolonga
Almolonga is a Guatemalan town in the Quetzaltenango Department, renowned for its highly productive vegetable farming and vibrant indigenous Kʼicheʼ culture.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768d6a208190817abe904fab433b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.