Triple
T5393389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badshot Lea |
E120587
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Aldershot |
E60600
|
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: Aldershot | Statement: [Badshot Lea, nearbyTown, Aldershot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aldershot Context triple: [Badshot Lea, nearbyTown, Aldershot]
-
A.
Aldershot
chosen
Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
-
B.
Woolwich
Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
-
C.
Maidenhead
Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
-
D.
Chobham
Chobham is a village and civil parish in Surrey, England, known for its rural character, common land, and historic buildings.
-
E.
Camberley
Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd871b81d08190993928e2c6251226 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf336d43a081909ab05d237c297c7b |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.