Triple
T2757221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bracknell Forest |
E61129
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sandhurst |
E249229
|
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: Sandhurst | Statement: [Bracknell Forest, contains, Sandhurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandhurst Context triple: [Bracknell Forest, contains, Sandhurst]
-
A.
Sandhurst
Sandhurst is a village in Kent, England, known for its rural character and traditional English countryside setting.
-
B.
Sandhurst
chosen
Sandhurst is a town in Berkshire, England, best known as the home of the Royal Military Academy Sandhurst, the British Army’s premier officer training centre.
-
C.
Aldershot
Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
-
D.
Bicester Garrison
Bicester Garrison is a major British Army logistics and support base located near the town of Bicester in Oxfordshire, England.
-
E.
Royal Military Academy, Woolwich
The Royal Military Academy, Woolwich was a prestigious British Army officer training institution in London, historically responsible for educating artillery and engineering officers.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8ba4688190b401b6eb5b734ac6 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdf650c8190baa020143b51f94b |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:57 p.m.