Triple
T9701605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heytesbury |
E234788
|
entity |
| Predicate | civilParishIncludes |
P852
|
FINISHED |
| Object |
Tytherington
Tytherington is a small village in Wiltshire, England, known for its rural character and historic association with the nearby parish of Heytesbury.
|
E814376
|
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: Tytherington | Statement: [Heytesbury, civilParishIncludes, Tytherington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tytherington Context triple: [Heytesbury, civilParishIncludes, Tytherington]
-
A.
Tytherington
Tytherington is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings.
-
B.
Thropton
Thropton is a small rural village in Northumberland, England, situated near the market town of Rothbury in the Coquet Valley.
-
C.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
D.
Thrupp
Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
-
E.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
- 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: Tytherington Triple: [Heytesbury, civilParishIncludes, Tytherington]
Generated description
Tytherington is a small village in Wiltshire, England, known for its rural character and historic association with the nearby parish of Heytesbury.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tytherington Target entity description: Tytherington is a small village in Wiltshire, England, known for its rural character and historic association with the nearby parish of Heytesbury.
-
A.
Tytherington
Tytherington is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings.
-
B.
Thropton
Thropton is a small rural village in Northumberland, England, situated near the market town of Rothbury in the Coquet Valley.
-
C.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
D.
Thrupp
Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
-
E.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d70f55c8190934f37c25e9d4ba4 |
completed | April 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912e645881908d223a93f3ee61da |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d191ea02e8819097e5a4247a8084f6 |
completed | April 4, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19251095881909272c53c026b2ad1 |
completed | April 4, 2026, 10:36 p.m. |
Created at: March 30, 2026, 8:18 p.m.