Triple
T9480581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chingford |
E228624
|
entity |
| Predicate | hasBusServicesTo |
P3791
|
FINISHED |
| Object | Walthamstow |
E486298
|
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: Walthamstow | Statement: [Chingford, hasBusServicesTo, Walthamstow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walthamstow Context triple: [Chingford, hasBusServicesTo, Walthamstow]
-
A.
Walthamstow
chosen
Walthamstow is a district in northeast London, England, known for its diverse community, historic market, and role as a parliamentary constituency.
-
B.
Leytonstone
Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
-
C.
East Ham
East Ham is a district in East London, England, known for its diverse community and historic development as a suburban area of the city.
-
D.
Wood Green
Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
-
E.
Stoke Newington
Stoke Newington is a residential district in the London Borough of Hackney known for its independent shops, diverse community, and vibrant cultural scene.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8018645c8190823d82a93635b345 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e38789881909e45e8d0b0489a59 |
completed | April 10, 2026, 8:31 p.m. |
Created at: March 30, 2026, 7:54 p.m.