Triple
T22694929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottery St Mary |
E561149
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | River Otter |
—
|
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 Otter | Statement: [Ottery St Mary, locatedOnRiver, River Otter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Otter Context triple: [Ottery St Mary, locatedOnRiver, River Otter]
-
A.
River Otter
chosen
The River Otter is a river in Devon, England, known for flowing through towns such as Honiton before reaching the English Channel.
-
B.
North American river otter
The North American river otter is a semi-aquatic mustelid known for its playful behavior, streamlined body, and adaptation to rivers, lakes, and coastal waterways across much of North America.
-
C.
American mink
The American mink is a semi-aquatic, carnivorous mustelid native to North America, known for its dense fur and adaptability to diverse wetland habitats.
-
D.
Beaver
Beaver is a small borough in western Pennsylvania that serves as the administrative and commercial center of Beaver County.
-
E.
Beaver
Beaver is a large, semiaquatic rodent known for building dams and lodges in freshwater habitats across North America and parts of Europe.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789d46c881908176bc8e26f366f6 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:14 p.m.