Triple
T6619476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscovey Street |
E149638
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Seething Lane |
E434575
|
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: Seething Lane | Statement: [Muscovey Street, near, Seething Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seething Lane Context triple: [Muscovey Street, near, Seething Lane]
-
A.
Seething Lane
chosen
Seething Lane is a historic street in the City of London, notable for its associations with the Navy Office and the diarist Samuel Pepys.
-
B.
Butt Lane
Butt Lane is a suburban area within the town of Kidsgrove in Staffordshire, England.
-
C.
Windmill Lane
Windmill Lane is a street in Dublin, Ireland, historically associated with the city’s music and recording scene.
-
D.
Gigg Lane
Gigg Lane is a historic football stadium in Bury, Greater Manchester, long associated with Bury F.C. and known as one of the oldest professional football grounds in the world.
-
E.
Sheepfoot Lane
Sheepfoot Lane is a local road in the Heaton Park area of Manchester, England, providing access around the park and nearby residential districts.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5ca97481909f8a7dc47249b4d3 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4461e748190b4feead6ef16a01c |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.