Triple
T871043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horley |
E18812
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Reigate |
E22887
|
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: Reigate | Statement: [Horley, hasNeighbouringSettlement, Reigate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reigate Context triple: [Horley, hasNeighbouringSettlement, Reigate]
-
A.
Reigate
chosen
Reigate is a historic market town in southeast England, situated at the foot of the North Downs and known for its castle ruins, caves, and commuter links to London.
-
B.
Oxted
Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
-
C.
Beckenham
Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
-
D.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
E.
Camberley
Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac94d5ac81909feee876696da589 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf057d688190bbd86a6727215bd2 |
completed | March 8, 2026, 12:12 a.m. |
Created at: March 1, 2026, 7:39 p.m.