Triple
T2548145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stowe landscape gardens |
E57953
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Buckingham |
E118556
|
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: Buckingham | Statement: [Stowe landscape gardens, near, Buckingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buckingham Context triple: [Stowe landscape gardens, near, Buckingham]
-
A.
Buckingham
Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
-
B.
Buckingham
chosen
Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
-
C.
Beaconsfield
Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
-
D.
Beaconsfield
Beaconsfield is a historic market town in South East England known for its affluent residential character and well-preserved old town architecture.
-
E.
Amersham
Amersham is a historic market town in southeast England known for its picturesque old town, Chilterns countryside setting, and role as a commuter hub into London.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af655a0f088190a7ac30c6df1fdff6 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:47 p.m.