Triple
T1374865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archibald Sinclair |
E30196
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Sandhurst |
E796
|
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: [Archibald Sinclair, educatedAt, Sandhurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandhurst Context triple: [Archibald Sinclair, educatedAt, Sandhurst]
-
A.
Sandhurst
Sandhurst is a village in Kent, England, known for its rural character and traditional English countryside setting.
-
B.
Aldershot
Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
-
C.
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.
-
D.
Woolwich
Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
-
E.
Royal Military College, Sandhurst
chosen
The Royal Military College, Sandhurst is the British Army’s premier officer training academy, renowned for producing many of the United Kingdom’s most prominent military and political leaders.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f7aeb08190b52ef1058c18327e |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd485e7e48190b4c2dcec53ebe195 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:57 p.m.