Triple
T9047833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettering |
E216801
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Pytchley
Pytchley is a small village and civil parish in North Northamptonshire, England, known historically for its association with the Pytchley Hunt.
|
E774441
|
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: Pytchley | Statement: [Kettering, hasNeighbourhood, Pytchley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pytchley Context triple: [Kettering, hasNeighbourhood, Pytchley]
-
A.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
B.
Baverstock
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
-
C.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
D.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
-
E.
Dahlbury
Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
- 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: Pytchley Triple: [Kettering, hasNeighbourhood, Pytchley]
Generated description
Pytchley is a small village and civil parish in North Northamptonshire, England, known historically for its association with the Pytchley Hunt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pytchley Target entity description: Pytchley is a small village and civil parish in North Northamptonshire, England, known historically for its association with the Pytchley Hunt.
-
A.
Coryton
Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
-
B.
Baverstock
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
-
C.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
D.
Tealby
Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
-
E.
Dahlbury
Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b5022c88190ab6b6de3c3830a41 |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebb7f668819099125ab727cd50b1 |
completed | April 3, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69cfed8970448190b3deac1d8f46c639 |
completed | April 3, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfedf299908190852cc627fd7134b9 |
completed | April 3, 2026, 4:42 p.m. |
Created at: March 30, 2026, 7:09 p.m.