Triple
T90448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London |
E1817
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Westminster |
E14557
|
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: Westminster | Statement: [London, contains, Westminster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westminster Context triple: [London, contains, Westminster]
-
A.
City of Westminster
chosen
The City of Westminster is a central London borough that serves as the political and ceremonial heart of the United Kingdom, encompassing landmarks such as the Houses of Parliament, Buckingham Palace, and major government institutions.
-
B.
City of London
The City of London is the historic and financial core of Greater London, renowned as one of the world’s leading global finance and business centers.
-
C.
Kensington
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
-
D.
London, England
London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
-
E.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24f6c29888190890caa7872d63ac6 |
completed | Feb. 28, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d4c666c481908d07d0e4912af055 |
completed | Feb. 28, 2026, 11:43 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.