Triple
T7104402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranleigh Waters |
E165539
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Surrey Hills |
E98000
|
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: Surrey Hills | Statement: [Cranleigh Waters, region, Surrey Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surrey Hills Context triple: [Cranleigh Waters, region, Surrey Hills]
-
A.
Surrey Hills
chosen
Surrey Hills is an Area of Outstanding Natural Beauty in southeast England known for its rolling countryside, woodlands, and picturesque villages.
-
B.
Malvern Hills
Malvern Hills is a range of hills in western England known for its dramatic scenery, ancient geology, and historic spa town of Great Malvern.
-
C.
North Downs
The North Downs are a range of chalk hills in southeast England, known for their scenic landscapes, walking trails, and areas of outstanding natural beauty.
-
D.
Surrey Weald
Surrey Weald is a rural, historically wooded lowland area in southeast England characterized by rolling farmland, scattered woodlands, and traditional villages.
-
E.
Waseley Hills
Waseley Hills is a range of hills and country park in Worcestershire, England, known for its scenic landscapes, walking trails, and views over Birmingham and the surrounding countryside.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58b3f708190bebca7d4c4db40f2 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cad60788190bb2b17d1c3f8e1cc |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.