Triple
T15108732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorchester, Dorset, England |
E360853
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | River Frome |
E381451
|
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 Frome | Statement: [Dorchester, Dorset, England, locatedOnRiver, River Frome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Frome Context triple: [Dorchester, Dorset, England, locatedOnRiver, River Frome]
-
A.
River Frome
The River Frome is a river in Gloucestershire, England, that flows through the town of Stroud and the surrounding Cotswold countryside before joining the River Severn.
-
B.
River Frome
The River Frome is a river in South West England that flows through Bristol and its suburbs before joining the River Avon.
-
C.
River Frome
chosen
The River Frome is a major chalk stream in Dorset, England, known for its clear waters, rich wildlife, and historic role in supporting local agriculture and settlements.
-
D.
River Frome
The River Frome is a river in Herefordshire, England, that flows through rural landscapes and market towns before joining the River Lugg.
-
E.
Lez River
The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2190cd748190b87279605280c54c |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:05 a.m.