Triple
T15733765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal’s Yard |
E381412
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Seven Dials |
E376833
|
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: Seven Dials | Statement: [Neal’s Yard, near, Seven Dials]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Dials Context triple: [Neal’s Yard, near, Seven Dials]
-
A.
Seven Dials
Seven Dials is a commercial book-publishing imprint known for producing accessible, popular non-fiction and lifestyle titles under the Orion Publishing Group.
-
B.
Seven Dials
chosen
Seven Dials is a historic junction and shopping district in London’s West End, known for its seven converging streets, distinctive column, and mix of boutiques, theatres, and restaurants.
-
C.
Seven Dials, London
Seven Dials, London is a historic junction and public space in Covent Garden where seven streets converge around a central column, known for its distinctive layout, shops, and theatres.
-
D.
Harrow Hill
Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
-
E.
Maidens Green
Maidens Green is a small hamlet in the civil parish of Warfield in Berkshire, England.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fed7888190b45f28ac91e0079e |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.