Triple
T39864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Commons of the United Kingdom |
E788
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Westminster |
E1817
|
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: [House of Commons of the United Kingdom, locatedIn, Westminster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westminster Context triple: [House of Commons of the United Kingdom, locatedIn, Westminster]
-
A.
London, England
chosen
London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
-
B.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
C.
Gloucester
Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
-
D.
White Hall
White Hall is a grand ceremonial room within the Livadia Palace, historically used for important receptions and diplomatic events.
-
E.
Cambridge, England
Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24adf3640819095576e072fb5d9a8 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a275df03dc81908c338b656feb9635 |
completed | Feb. 28, 2026, 4:58 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.