Triple
T18740372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urola River |
E458272
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Río Urola (Spanish) |
—
|
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: Río Urola (Spanish) | Statement: [Urola River, hasNameInLanguage, Río Urola (Spanish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Urola (Spanish) Context triple: [Urola River, hasNameInLanguage, Río Urola (Spanish)]
-
A.
Urola River
chosen
The Urola River is a watercourse in the Basque province of Gipuzkoa in northern Spain that flows through towns such as Azpeitia before reaching the Cantabrian coast.
-
B.
Río Mostazal
Río Mostazal is a river located in Chile’s Coquimbo Region, known locally by its Spanish name.
-
C.
Ortega River
The Ortega River is a waterway in Jacksonville, Florida, known for its residential waterfront neighborhoods, marinas, and connection to the St. Johns River.
-
D.
Río Upía
Río Upía is a river in Colombia that feeds into the larger Río Meta within the Orinoco River basin.
-
E.
Río Yeso
Río Yeso is a mountain river in central Chile known for its turquoise waters, Andean scenery, and role in supplying water to the Maipo basin and Santiago.
- 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.