Triple
T16244724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stepney |
E394340
|
entity |
| Predicate | adjacentTo |
P224
|
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: [Stepney, adjacentTo, Mile End]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mile End Context triple: [Stepney, adjacentTo, Mile End]
-
A.
Mile End
Mile End is a vibrant, artsy neighborhood in Montreal known for its creative community, indie shops, and iconic bagel bakeries.
-
B.
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.
-
C.
Mile End
Mile End is an inner-western suburb of Adelaide, South Australia, known for its residential character and proximity to the city centre.
-
D.
Quartier-Morin
Quartier-Morin is a commune in northern Haiti known for its agricultural activities and proximity to the city of Cap-Haïtien.
-
E.
Pointe-Saint-Charles
Pointe-Saint-Charles is a historic working-class neighborhood in Montreal known for its industrial heritage, strong community identity, and ongoing urban revitalization.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24560c6848190ae0e85ecb11a9264 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee135b881909cc1b6919bc7af29 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.