Triple
T4937363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East End of London |
E110844
|
entity |
| Predicate | includesArea |
P1393
|
FINISHED |
| Object | Mile End |
E215594
|
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: Mile End | Statement: [East End of London, includesArea, Mile End]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mile End Context triple: [East End of London, includesArea, Mile End]
-
A.
Mile End
chosen
Mile End is an East London district in the London Borough of Tower Hamlets known for its canalside parks, diverse community, and proximity to several major universities and cultural institutions.
-
B.
Mile End
Mile End is a vibrant, artsy neighborhood in Montreal known for its creative community, indie shops, and iconic bagel bakeries.
-
C.
Sainte-Catherine
Sainte-Catherine is a suburban municipality located on the South Shore of the Saint Lawrence River near Montreal in Quebec, Canada.
-
D.
Quartier Petit Champlain
Quartier Petit Champlain is a historic, pedestrian-friendly neighborhood in Old Quebec City known for its narrow cobblestone streets, charming boutiques, and picturesque European-style architecture.
-
E.
Côte-Vertu
Côte-Vertu is a major Montreal Metro station in the borough of Saint-Laurent that serves as a key transit hub for the city’s northwestern area.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70872270819080769dad972681ef |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81c950388190a5a1ed856c4f0830 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:31 p.m.