Triple
T1031230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A30 road |
E22254
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Honiton
Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
|
E137378
|
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: Honiton | Statement: [A30 road, passesNear, Honiton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honiton Context triple: [A30 road, passesNear, Honiton]
-
A.
Hartington
Hartington is a village and civil parish in Derbyshire, England, historically associated with the Cavendish family and the title Marquess of Hartington.
-
B.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
-
C.
Hythe
Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
-
D.
Upavon
Upavon is a village on Salisbury Plain in Wiltshire, England, notable for its long military association and nearby army and air force facilities.
-
E.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
- 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: Honiton Triple: [A30 road, passesNear, Honiton]
Generated description
Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honiton Target entity description: Honiton is a market town in East Devon, England, historically known for its lace-making and situated on key transport routes in the region.
-
A.
Hartington
Hartington is a village and civil parish in Derbyshire, England, historically associated with the Cavendish family and the title Marquess of Hartington.
-
B.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
-
C.
Hythe
Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
-
D.
Upavon
Upavon is a village on Salisbury Plain in Wiltshire, England, notable for its long military association and nearby army and air force facilities.
-
E.
Hylton
Hylton is the defendant in the landmark 1796 U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b810429081908a97014ca740824b |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f29385c8190a42dc7dbac592221 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7f69eb448190819e39ef62d0fd81 |
completed | March 7, 2026, 7:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac7fd648948190bc30a14b79bc6dca |
completed | March 7, 2026, 7:43 p.m. |
Created at: March 1, 2026, 7:41 p.m.