Triple
T6005548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ottery St Mary |
E133700
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | River Otter |
E529587
|
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 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.
North American river otter
chosen
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.
-
B.
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.
-
C.
Beaver
Beaver is a large, semiaquatic rodent known for building dams and lodges in freshwater habitats across North America and parts of Europe.
-
D.
Beaver
Beaver was one of the British ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest in 1773.
-
E.
Beaver
Beaver is a small borough in western Pennsylvania that serves as the administrative and commercial center of Beaver County.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f128354819088971ee398cbda77 |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1088f5c84819094e4696c24c4dd79 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:06 p.m.