Triple
T15295764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeovil Country Park |
E365651
|
entity |
| Predicate | followsWatercourse |
P3624
|
FINISHED |
| Object | River Yeo |
E296813
|
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: River Yeo | Statement: [Yeovil Country Park, followsWatercourse, River Yeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Yeo Context triple: [Yeovil Country Park, followsWatercourse, 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.
Yeong River
The Yeong River is a river in South Korea that feeds into the larger Nakdong River system.
-
D.
Yong River
The Yong River is a major waterway in Guangxi, China, flowing through the regional capital Nanning and playing an important role in its transport, ecology, and urban landscape.
-
E.
Geum River
The Geum River is a major river in western South Korea that flows through the central region before emptying into the Yellow Sea.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef81058c8190aec7c7ad9a68f569 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.