Triple
T17551987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yew Maze |
E427487
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Edenbridge |
—
|
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: Edenbridge | Statement: [Yew Maze, near, Edenbridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edenbridge Context triple: [Yew Maze, near, Edenbridge]
-
A.
Edenbridge
chosen
Edenbridge is a small historic town in Kent, England, known for its medieval buildings and annual bonfire celebrations.
-
B.
Erith
Erith is a suburban town on the River Thames in the London Borough of Bexley, known for its riverside location, residential areas, and local shopping facilities.
-
C.
Rainham
Rainham is a suburban town in East London, England, known for its residential character and proximity to the River Thames.
-
D.
Darenth
Darenth is a village and civil parish in the Borough of Dartford in Kent, England, known for its rural character and proximity to the River Darent.
-
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 (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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454664b348190aea3ad59954b2c91 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.