Triple
T23087850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowndes Square |
E575660
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Knightsbridge |
—
|
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: Knightsbridge | Statement: [Lowndes Square, near, Knightsbridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knightsbridge Context triple: [Lowndes Square, near, Knightsbridge]
-
A.
Knightsbridge
chosen
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
-
B.
Sloane Square
Sloane Square is a prominent public square and transport hub in central London, known for its upscale shops, theatres, and proximity to the fashionable Chelsea district.
-
C.
Old Kensington
Old Kensington is a 19th-century novel by Anne Isabella Thackeray Ritchie that offers a gently satirical and nostalgic portrayal of Victorian middle-class life in London.
-
D.
Mayfair
Mayfair is a residential neighborhood in Northeast Philadelphia known for its rowhouses, commercial corridors, and strong working- and middle-class community character.
-
E.
Mayfair
Mayfair is a residential neighborhood in Northeast Washington, D.C., known for its proximity to the Anacostia River and its mix of rowhouses and apartment complexes.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da7c54c81908b62d04ab1811b06 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.