Triple
T10216732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viana do Castelo |
E242464
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Lima River |
E691397
|
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: Lima River | Statement: [Viana do Castelo, locatedOn, Lima River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lima River Context triple: [Viana do Castelo, locatedOn, Lima River]
-
A.
Lima River
chosen
The Lima River is a watercourse in northwestern Iberia that flows from Spain into Portugal, passing through the Norte Region before emptying into the Atlantic Ocean at Viana do Castelo.
-
B.
Rímac River
The Rímac River is a major waterway in central Peru that flows from the Andes through the city of Lima to the Pacific Ocean, serving as a crucial source of water for the capital region.
-
C.
Lurín River
The Lurín River is a coastal watercourse in central Peru that has long supported agriculture and settlement in the Lurín Valley near Lima.
-
D.
Tarqui River
The Tarqui River is a waterway in southern Ecuador that flows through the city of Cuenca and contributes to its Andean watershed.
-
E.
Guareña River
The Guareña River is a tributary watercourse in western Spain that feeds into the larger Douro River system.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6e544c8190961cdd7f1fbe24e6 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6847ad9fc819085b0d6c886488c3b |
completed | April 20, 2026, 7:54 p.m. |
Created at: April 6, 2026, 11:06 a.m.