Triple
T18727355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aylestone Meadows |
E457937
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Aylestone |
—
|
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: Aylestone | Statement: [Aylestone Meadows, near, Aylestone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aylestone Context triple: [Aylestone Meadows, near, Aylestone]
-
A.
Aylestone
chosen
Aylestone is a suburban area of Leicester, England, known for its historic village core and riverside setting along the River Soar.
-
B.
Doyleston
Doyleston is a small rural settlement in the Canterbury region of New Zealand’s South Island.
-
C.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
D.
Knelston
Knelston is a small rural village located on the Gower Peninsula in South Wales, known for its scenic coastal surroundings and traditional Welsh character.
-
E.
Woolverstone
Woolverstone is a small village and civil parish in Suffolk, England, situated on the banks of the River Orwell and known for its rural character and historic Woolverstone Hall.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d74bd9881908cd314e68327c402 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.