Triple
T2445749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swanley |
E53388
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object |
Farningham
Farningham is a historic village in the Sevenoaks District of Kent, England, known for its rural character and location on the River Darent.
|
E267139
|
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: Farningham | Statement: [Swanley, hasNeighbouringSettlement, Farningham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farningham Context triple: [Swanley, hasNeighbouringSettlement, Farningham]
-
A.
Folkingham
Folkingham is a historic village in Lincolnshire, England, known for its medieval market heritage and distinctive Georgian architecture.
-
B.
Haddenham
Haddenham is a village and civil parish in Cambridgeshire, England, known for its rural character and historic parish church.
-
C.
Haddenham
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
-
D.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
E.
Faringdon
Faringdon is a historic market town in Oxfordshire, England, known for its medieval church, traditional market square, and nearby Faringdon Folly tower.
- 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: Farningham Triple: [Swanley, hasNeighbouringSettlement, Farningham]
Generated description
Farningham is a historic village in the Sevenoaks District of Kent, England, known for its rural character and location on the River Darent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farningham Target entity description: Farningham is a historic village in the Sevenoaks District of Kent, England, known for its rural character and location on the River Darent.
-
A.
Folkingham
Folkingham is a historic village in Lincolnshire, England, known for its medieval market heritage and distinctive Georgian architecture.
-
B.
Haddenham
Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
-
C.
Haddenham
Haddenham is a village and civil parish in Cambridgeshire, England, known for its rural character and historic parish church.
-
D.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
E.
Faringdon
Faringdon is a historic market town in Oxfordshire, England, known for its medieval church, traditional market square, and nearby Faringdon Folly tower.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca25a84c8190859bf51000beffec |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0baa6448190a4046a039168b8fe |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef58eff2c81909cbf3346705940a3 |
completed | March 9, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef656ae0c81908753cc5a8b5fe704 |
completed | March 9, 2026, 4:33 p.m. |
Created at: March 6, 2026, 9:43 p.m.