Triple
T20411652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yatton |
E500599
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | River Yeo |
—
|
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: River Yeo | Statement: [Yatton, locatedNear, River Yeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Yeo Context triple: [Yatton, locatedNear, River Yeo]
-
A.
River Yeo
River Yeo is a small river in southwest England that flows through parts of Dorset and Somerset, including the town of Sherborne.
-
B.
River Yeo
chosen
River Yeo is a small river in North Somerset, England, that flows through rural villages and farmland before joining the River Avon system.
-
C.
Yuna River
The Yuna River is one of the principal rivers of the Dominican Republic, flowing through the fertile Cibao region and supporting agriculture, settlements, and local ecosystems.
-
D.
Yeong River
The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
-
E.
Yong River
The Yong River is a major waterway in Ningbo, China, known for flowing through the city and supporting its transportation, economy, and surrounding ecosystems.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3f8fdc8190b05b6c41b38f34b7 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.