Triple
T5146236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent |
E116076
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tokyngton |
E415095
|
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: Tokyngton | Statement: [Brent, contains, Tokyngton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokyngton Context triple: [Brent, contains, Tokyngton]
-
A.
Tokyngton
chosen
Tokyngton is a residential district in the London Borough of Brent, known for its proximity to Wembley Stadium and its diverse local community.
-
B.
Buckingham
Buckingham is a historic parliamentary borough in Buckinghamshire, England, that long served as a constituency represented in the British House of Commons.
-
C.
Buckingham
Buckingham is a former municipality in western Quebec, Canada, now part of the city of Gatineau.
-
D.
Tilbury
Tilbury is a small community within the municipality of Chatham-Kent in southwestern Ontario, Canada, known for its agricultural surroundings and local services.
-
E.
Tilbury
Tilbury is a port town on the north bank of the River Thames in Essex, England, known for its docks and historic forts guarding the approach to 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78ac677881909ce8632f1a8af880 |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becff590ec81908ed03474f21a95f5 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.