Triple
T3984658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North London |
E86841
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wood Green
Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
|
E485206
|
NE FINISHED |
How this triple was built (4 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: Wood Green | Statement: [North London, contains, Wood Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wood Green Context triple: [North London, contains, Wood Green]
-
A.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
-
B.
Gospel Oak
Gospel Oak is a residential district in north London, known for its proximity to Hampstead Heath and its mix of Victorian housing and council estates.
-
C.
Leytonstone
Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
-
D.
Crouch End
Crouch End is a leafy, affluent residential district in north London known for its village-like atmosphere, independent shops, and vibrant arts and café culture.
-
E.
Kentish Town
Kentish Town is a residential and commercial district in north London known for its vibrant high street, music venues, and proximity to central London.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wood Green Triple: [North London, contains, Wood Green]
Generated description
Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wood Green Target entity description: Wood Green is a busy urban district and major shopping and transport hub in the London Borough of Haringey in north London.
-
A.
Harlesden
Harlesden is a residential district in northwest London known for its diverse community and strong Caribbean and Brazilian cultural influences.
-
B.
Gospel Oak
Gospel Oak is a residential district in north London, known for its proximity to Hampstead Heath and its mix of Victorian housing and council estates.
-
C.
Leytonstone
Leytonstone is a suburban district in East London, England, known for its residential character, local high street, and association with filmmaker Alfred Hitchcock.
-
D.
Crouch End
Crouch End is a leafy, affluent residential district in north London known for its village-like atmosphere, independent shops, and vibrant arts and café culture.
-
E.
Kentish Town
Kentish Town is a residential and commercial district in north London known for its vibrant high street, music venues, and proximity to central London.
- F. None of above. chosen
Provenance (5 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9de58d48190969f354a1bf0df94 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89b9fcbc8190868b8d0584e94118 |
completed | March 21, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69be8b54b7648190a32236301384a54f |
completed | March 21, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8ba6dc4c81909a64f409bd18aa63 |
completed | March 21, 2026, 12:14 p.m. |
Created at: March 9, 2026, 3:33 p.m.