Triple
T22009054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epping, Essex, England |
E543526
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Loughton |
—
|
NE NERFINISHED |
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: Loughton | Statement: [Epping, Essex, England, hasNearbySettlement, Loughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loughton Context triple: [Epping, Essex, England, hasNearbySettlement, Loughton]
-
A.
Loughton
chosen
Loughton is a suburban town in southeast England known for its proximity to Epping Forest and its role as a commuter hub within the London metropolitan area.
-
B.
Radlett
Radlett is a prosperous commuter village in southern England, situated between St Albans and London within the county of Hertfordshire.
-
C.
Epping
Epping is a small commune in northeastern France, located in the Moselle department near the German border.
-
D.
Epping
Epping is a suburb in Melbourne, Australia, known for its residential communities, shopping facilities, and role as a transport hub in the city's northern corridor.
-
E.
Epping
Epping is a market town in the Epping Forest district of Essex, England, known for its historic high street and proximity to the ancient Epping Forest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a376048190a78ba7efd303b58a |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.