Triple
T4395339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King |
E99472
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Kettleby
Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
|
E436686
|
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: Kettleby | Statement: [King, containsSettlement, Kettleby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kettleby Context triple: [King, containsSettlement, Kettleby]
-
A.
Kettletoft
Kettletoft is the main village and administrative hub on the Orkney island of Sanday in Scotland.
-
B.
Cronkhill
Cronkhill is a notable early 19th-century Italianate-style country villa in Shropshire, England, recognized as one of the first examples of this architectural style in the country.
-
C.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
D.
Kettleburgh
Kettleburgh is a small rural village and civil parish located in the English county of Suffolk.
-
E.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
- 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: Kettleby Triple: [King, containsSettlement, Kettleby]
Generated description
Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kettleby Target entity description: Kettleby is a small rural community in King Township, Ontario, known for its historic character and scenic countryside.
-
A.
Kettletoft
Kettletoft is the main village and administrative hub on the Orkney island of Sanday in Scotland.
-
B.
Cronkhill
Cronkhill is a notable early 19th-century Italianate-style country villa in Shropshire, England, recognized as one of the first examples of this architectural style in the country.
-
C.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
D.
Kettleburgh
Kettleburgh is a small rural village and civil parish located in the English county of Suffolk.
-
E.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352ab928c81909f4406d5df3e081b |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e536e1848190a2517ab351adfe48 |
completed | March 14, 2026, 10:46 p.m. |
| NEDg | Description generation | batch_69b5eeaf35348190a1611f5b04baed1f |
completed | March 14, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ef5c7e0c819080b0e8914dcd6568 |
completed | March 14, 2026, 11:29 p.m. |
Created at: March 12, 2026, 11:20 p.m.