Triple
T8709377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Borough of Barking and Dagenham |
E206735
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dagenham |
E636904
|
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: Dagenham | Statement: [London Borough of Barking and Dagenham, contains, Dagenham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagenham Context triple: [London Borough of Barking and Dagenham, contains, Dagenham]
-
A.
Dagenham
chosen
Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
-
B.
Rainham
Rainham is a suburban town in East London, England, known for its residential character and proximity to the River Thames.
-
C.
Hainault
Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
-
D.
Sidcup
Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
-
E.
Dartford
Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c2e9c688190aceefaa2c3b7d7bd |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2ffaba9988190be59bf863c3b1f48 |
completed | April 6, 2026, 12:34 a.m. |
Created at: March 30, 2026, 6:35 p.m.