Triple
T9432871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Baluarte |
E227426
|
entity |
| Predicate | nameInSpanish |
P2789
|
FINISHED |
| Object | Río Baluarte |
E227426
|
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: Río Baluarte | Statement: [Río Baluarte, nameInSpanish, Río Baluarte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Baluarte Context triple: [Río Baluarte, nameInSpanish, Río Baluarte]
-
A.
Río Baluarte
chosen
Río Baluarte is a significant river in northwestern Mexico that flows through the state of Sinaloa toward the Pacific coast, contributing to the region’s agriculture and ecology.
-
B.
Río Ayuquila
Río Ayuquila is a river in the state of Jalisco, Mexico, that flows through the region around Autlán de Navarro and supports local agriculture and ecosystems.
-
C.
Río Hato
Río Hato is a river that flows near the municipality of Piedecuesta in the Santander Department of Colombia.
-
D.
Guadalimar River
The Guadalimar River is a significant watercourse in southern Spain that flows through the provinces of Jaén and Ciudad Real before joining the Guadalquivir River.
-
E.
Río Viejo
Río Viejo is a town and municipality located in northern Colombia’s Caribbean region, within the Bolívar Department.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e61a114819081fc4a2ad39c96ba |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deafff4b8c819099d47b48773c3629 |
completed | April 14, 2026, 9:22 p.m. |
Created at: March 30, 2026, 7:49 p.m.