Triple
T7301497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bueno River |
E167865
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Osorno Province |
E124423
|
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: Osorno Province | Statement: [Bueno River, flowsThrough, Osorno Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osorno Province Context triple: [Bueno River, flowsThrough, Osorno Province]
-
A.
Osorno Province
chosen
Osorno Province is an administrative division in southern Chile known for its agricultural activity, lakes, and proximity to the Andes and volcanoes.
-
B.
Cutervo Province
Cutervo Province is an administrative subdivision in northern Peru known for its mountainous terrain, rural communities, and proximity to the Cutervo National Park.
-
C.
Melgar Province
Melgar Province is an administrative division in southeastern Peru known for its high Andean landscapes and location within the Puno Region.
-
D.
Celendín Province
Celendín Province is an administrative division in northern Peru known for its Andean landscapes, rural communities, and traditional highland culture.
-
E.
Muñecas Province
Muñecas Province is an administrative subdivision in the northern part of Bolivia’s La Paz Department, known for its rural Andean communities and mountainous terrain.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb09164819099c4479d48c1688a |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ede6c4c8190ad7ade8ce3bbc35e |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 3:01 p.m.