Triple
T10100876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chigwell |
E216194
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Hainault |
E450448
|
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: Hainault | Statement: [Chigwell, adjacentTo, Hainault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hainault Context triple: [Chigwell, adjacentTo, Hainault]
-
A.
Hainault
chosen
Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
-
B.
Hounslow
Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
-
C.
Dagenham
Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
-
D.
Chislehurst
Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
-
E.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09878f88190bcfa2c81fb10e821 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018324bf88190bcd2bf168b1065d3 |
completed | April 28, 2026, 2:15 a.m. |
Created at: March 30, 2026, 9:02 p.m.