Triple
T20947480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Sophia of the United Kingdom |
E515885
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Kensington, London |
—
|
NE NERFINISHED |
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: Kensington, London | Statement: [Princess Sophia of the United Kingdom, burialPlace, Kensington, London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kensington, London Context triple: [Princess Sophia of the United Kingdom, burialPlace, Kensington, London]
-
A.
Kensington, London, England
Kensington, London, England is an affluent central London district known for its elegant residential streets, embassies, and cultural landmarks such as Kensington Palace and the Royal Albert Hall.
-
B.
Kensington
Kensington is a historic Philadelphia neighborhood known for its industrial past and ongoing urban redevelopment.
-
C.
Kensington
Kensington is a popular inner-city district in Calgary known for its vibrant mix of shops, restaurants, and cultural venues.
-
D.
Kensington
chosen
Kensington is a district in West London, England, known for its affluent residential areas, cultural institutions, and royal associations.
-
E.
Kensington
Kensington is a residential neighborhood in central Brooklyn, New York City, known for its diverse population and mix of apartment buildings and single-family homes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad97aa48190b4be692e3afce8c9 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 12:57 p.m.