Triple
T5862897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windmill Lane Studios |
E130317
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object | Windmill Lane |
E554166
|
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: Windmill Lane | Statement: [Windmill Lane Studios, locatedOnStreet, Windmill Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windmill Lane Context triple: [Windmill Lane Studios, locatedOnStreet, Windmill Lane]
-
A.
Windmill Lane
chosen
Windmill Lane is a street in Dublin, Ireland, historically associated with the city’s music and recording scene.
-
B.
Rosemary Lane
Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
-
C.
Meadow Lane
Meadow Lane is a historic football stadium in Nottingham, England, best known as the long-time home ground of Notts County F.C.
-
D.
Seething Lane
Seething Lane is a historic street in the City of London, notable for its associations with the Navy Office and the diarist Samuel Pepys.
-
E.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358b11308190b2ef1c8febccc4b4 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107fd138c819092096f473be3e4cf |
completed | March 23, 2026, 9:29 a.m. |
Created at: March 22, 2026, 3:56 p.m.