Triple
T16405346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waverley, Surrey |
E398410
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Thursley
Thursley is a small rural village and civil parish in southwest Surrey, England, known for its surrounding heathland and nature reserve.
|
E1212569
|
NE FINISHED |
How this triple was built (4 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: Thursley | Statement: [Waverley, Surrey, containsSettlement, Thursley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thursley Context triple: [Waverley, Surrey, containsSettlement, Thursley]
-
A.
Thundersley
Thundersley is a suburban area and former village in Essex, England, now largely residential and integrated into the Southend-on-Sea commuter belt.
-
B.
Thornley
Thornley is a surname of English origin that appears as a name component in various personal names, including that of Irving Noel Thornley Stoker.
-
C.
Thurlby
Thurlby is a village and civil parish in the South Kesteven district of Lincolnshire, England.
-
D.
Hatherley
Hatherley is a suburban area of Cheltenham in Gloucestershire, England, known primarily as a residential district.
-
E.
Thelnetham
Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thursley Triple: [Waverley, Surrey, containsSettlement, Thursley]
Generated description
Thursley is a small rural village and civil parish in southwest Surrey, England, known for its surrounding heathland and nature reserve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thursley Target entity description: Thursley is a small rural village and civil parish in southwest Surrey, England, known for its surrounding heathland and nature reserve.
-
A.
Thundersley
Thundersley is a suburban area and former village in Essex, England, now largely residential and integrated into the Southend-on-Sea commuter belt.
-
B.
Thornley
Thornley is a surname of English origin that appears as a name component in various personal names, including that of Irving Noel Thornley Stoker.
-
C.
Thurlby
Thurlby is a village and civil parish in the South Kesteven district of Lincolnshire, England.
-
D.
Hatherley
Hatherley is a suburban area of Cheltenham in Gloucestershire, England, known primarily as a residential district.
-
E.
Thelnetham
Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
- F. None of above. chosen
Provenance (5 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c62614c8190acd6d211cab1be11 |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dc6f4888190ae326c9606d2a674 |
completed | May 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0041842cc88190b81432d234f9aa17 |
completed | May 10, 2026, 8:27 a.m. |
Created at: April 10, 2026, 5:09 a.m.