Triple
T8061704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angostura River |
E188137
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Maipo River basin |
E24731
|
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: Maipo River basin | Statement: [Angostura River, partOf, Maipo River basin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maipo River basin Context triple: [Angostura River, partOf, Maipo River basin]
-
A.
Maipo River
chosen
The Maipo River is one of central Chile’s most important rivers, flowing from the Andes through the Santiago metropolitan area and supporting agriculture, industry, and water supply in the region.
-
B.
Maipo Valley
Maipo Valley is one of Chile’s most renowned wine-producing regions, especially famous for its high-quality Cabernet Sauvignon and other red wines.
-
C.
Yuanjiang
Yuanjiang is a city in China known for its regional economic activity and cultural exchanges, including international town-twinning partnerships.
-
D.
Yuxi River
The Yuxi River is a river in eastern China that serves as the primary outlet channel draining water from Chaohu Lake.
-
E.
Ruiru River
Ruiru River is a tributary watercourse in Kenya that feeds into the Nairobi River within the greater Nairobi river basin.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcd7bcc8190b0a629a813846f13 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93d44c3481908b6e95ce8c78c602 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:26 p.m.