Triple
T3525964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeovil |
E74538
|
entity |
| Predicate | hasRiver |
P165
|
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, hasRiver, River Yeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Yeo Context triple: [Yeovil, hasRiver, River Yeo]
-
A.
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.
-
B.
Suyeong River
The Suyeong River is a major waterway flowing through Busan, South Korea, known for its scenic riverside areas and proximity to key cultural and urban landmarks.
-
C.
Taehwa River
The Taehwa River is a major waterway in southeastern South Korea that flows through the industrial city of Ulsan and serves as an important ecological and recreational resource for the region.
-
D.
Harangi River
The Harangi River is a tributary of the Kaveri River in Karnataka, India, known for the Harangi Dam that supports irrigation and regional water management.
-
E.
Geumho River
The Geumho River is a major tributary of the Nakdong River in South Korea, flowing through the city of Daegu and playing an important role in the region’s ecology and urban landscape.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6a8d0c819094d38b9c47fb67b4 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4faf333d4819094293a326196fe50 |
completed | March 14, 2026, 6:06 a.m. |
Created at: March 8, 2026, 3:19 p.m.