Triple
T1060150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reigate |
E22887
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Redhill |
E23394
|
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: Redhill | Statement: [Reigate, near, Redhill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redhill Context triple: [Reigate, near, Redhill]
-
A.
Redhill
chosen
Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
-
B.
Herne Hill
Herne Hill is a residential district in South London known for its Victorian architecture, local markets, and proximity to Brockwell Park.
-
C.
Camberwell
Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
-
D.
Lamberhurst
Lamberhurst is a rural village in Kent, England, known for its historic buildings, vineyards, and scenic countryside within the High Weald Area of Outstanding Natural Beauty.
-
E.
Vernon Hill
Vernon Hill was a British sculptor and illustrator known for his expressive architectural and memorial works in the early 20th century.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f3f98c819096338198d9f30491 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5a95a7c81908ea80c0f857a8d4a |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 1, 2026, 7:42 p.m.