Triple
T6609240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazonby |
E149194
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Kirkoswald |
E167222
|
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: Kirkoswald | Statement: [Lazonby, nearbySettlement, Kirkoswald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirkoswald Context triple: [Lazonby, nearbySettlement, Kirkoswald]
-
A.
Kirkoswald
chosen
Kirkoswald is a historic village and civil parish in Cumbria, England, known for its traditional architecture and rural setting in the Eden Valley.
-
B.
Inchmoan
Inchmoan is a low-lying, sandy island in Loch Lomond, Scotland, known for its natural beauty, wildlife, and popular beaches.
-
C.
Oswaldkirk
Oswaldkirk is a small rural village and civil parish in North Yorkshire, England, known for its historic church and scenic countryside setting.
-
D.
Heanor
Heanor is a town in the Amber Valley district of Derbyshire, England, historically associated with coal mining and textile industries.
-
E.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3301dc819082d427675c36aaa6 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd228fc8190852fac2308233765 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:57 p.m.