Triple
T18786240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Chalfont |
E459382
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Latimer |
—
|
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: Latimer | Statement: [Little Chalfont, hasNearbySettlement, Latimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latimer Context triple: [Little Chalfont, hasNearbySettlement, Latimer]
-
A.
Latimer
chosen
Latimer is a village in Buckinghamshire, England, known for its historic country houses and picturesque Chilterns countryside setting.
-
B.
Latimer
Latimer is a surname of English origin borne by various notable individuals across fields such as politics, religion, and the arts.
-
C.
Edwardstone
Edwardstone is a small rural village and civil parish in Suffolk, England, known for its historic church and traditional countryside character.
-
D.
Hardwicke
Hardwicke is a given name most notably borne by Hardwicke Rawnsley, an English clergyman, conservationist, and co-founder of the National Trust.
-
E.
Ruxley
Ruxley is a locality in the London Borough of Bromley, England, known for its mix of suburban development and nearby nature reserves such as the Ruxley Gravel Pits.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978154ac819096356d2a488b45f0 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:52 a.m.