Triple
T5928300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coniston |
E131868
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Windermere |
E22650
|
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: Windermere | Statement: [Coniston, locatedNear, Windermere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windermere Context triple: [Coniston, locatedNear, Windermere]
-
A.
Windermere
chosen
Windermere is the largest natural lake in England and a popular tourist destination in the Lake District known for its scenic beauty and boating activities.
-
B.
Windermere
Windermere is a town in England’s Lake District, known for its proximity to Lake Windermere and its popularity as a tourist destination for outdoor and waterside activities.
-
C.
Lake Windermere
Lake Windermere is a long, scenic lake in southeastern British Columbia, Canada, popular for recreation and surrounded by mountain landscapes.
-
D.
Lake Windermere
Lake Windermere is a freshwater lake within Booderee National Park in New South Wales, Australia, known for its tranquil bushland setting and native wildlife.
-
E.
Thirlmere
Thirlmere is a reservoir in England’s Lake District, known for its scenic mountain surroundings and role in supplying water to the city of Manchester.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038571d108190b4f3d242c068452f |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e399f2ec81908e2e38b9fbf8b56a |
completed | March 27, 2026, 1:55 a.m. |
Created at: March 22, 2026, 4 p.m.