Triple
T2317845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central London |
E51106
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Marylebone |
E40485
|
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: Marylebone | Statement: [Central London, contains, Marylebone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marylebone Context triple: [Central London, contains, Marylebone]
-
A.
Marylebone
chosen
Marylebone is a central London district in the City of Westminster, known for its elegant Georgian architecture, upscale shopping streets, and cultural landmarks.
-
B.
Hampstead
Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
-
C.
Hampstead
Hampstead is a small, affluent residential town on the Island of Montreal in Quebec, Canada, known for its suburban character and tree-lined streets.
-
D.
St John’s Wood
St John’s Wood is an affluent residential district in northwest London, known for its tree-lined streets, elegant villas, and landmarks such as Lord’s Cricket Ground and Abbey Road.
-
E.
Knightsbridge
Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62fa60c8190b4859ce296ea4177 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b6475948190816531b026c7930c |
completed | March 9, 2026, 8:19 p.m. |
Created at: March 4, 2026, 7:49 p.m.