Triple
T7296893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Bingham of Cornhill |
E164546
|
entity |
| Predicate | placeOfBirth |
P1
|
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: [Lord Bingham of Cornhill, placeOfBirth, Marylebone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marylebone Context triple: [Lord Bingham of Cornhill, placeOfBirth, 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.
Muswell Hill
Muswell Hill is a leafy, affluent suburban district in North London known for its Edwardian architecture, village-like high street, and panoramic views over the city.
-
C.
Hampstead
Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
-
D.
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.
-
E.
Edgware
Edgware is a suburban district in north London known for its residential character, shopping facilities, and role as a transport hub on the London Underground.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8e48d48190ada4d507f3b61bc4 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e547c7b88190b792495efb3a215c |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.