Triple
T5949656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creswell |
E132364
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Elmton
Elmton is a small village in Derbyshire, England, known for its rural character and historic association with nearby Creswell.
|
E560246
|
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: Elmton | Statement: [Creswell, hasNearbySettlement, Elmton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmton Context triple: [Creswell, hasNearbySettlement, Elmton]
-
A.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
B.
Earlton
Earlton is a small rural community in northeastern Ontario, Canada, known for its agricultural surroundings and proximity to the city of Temiskaming Shores.
-
C.
Isleham
Isleham is a rural village and civil parish in Cambridgeshire, England, known for its historic churches and fenland landscape.
-
D.
Mottingham
Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
-
E.
Oakington
Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
- 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: Elmton Triple: [Creswell, hasNearbySettlement, Elmton]
Generated description
Elmton is a small village in Derbyshire, England, known for its rural character and historic association with nearby Creswell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elmton Target entity description: Elmton is a small village in Derbyshire, England, known for its rural character and historic association with nearby Creswell.
-
A.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
B.
Earlton
Earlton is a small rural community in northeastern Ontario, Canada, known for its agricultural surroundings and proximity to the city of Temiskaming Shores.
-
C.
Isleham
Isleham is a rural village and civil parish in Cambridgeshire, England, known for its historic churches and fenland landscape.
-
D.
Mottingham
Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
-
E.
Oakington
Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0397fd19081908ab31b190deb8247 |
completed | March 22, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3cb29f8819095d44ae3ad193fb2 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0fab383f88190b18c55bf3704f3a4 |
completed | March 23, 2026, 8:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0fdefa0d8819087adf1d41d9d9fe2 |
completed | March 23, 2026, 8:46 a.m. |
Created at: March 22, 2026, 4:02 p.m.