Triple
T4778175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowton |
E106104
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Kenyon
Kenyon is a village in the Metropolitan Borough of Warrington, England, historically part of Lancashire.
|
E469731
|
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: Kenyon | Statement: [Lowton, locatedNear, Kenyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenyon Context triple: [Lowton, locatedNear, Kenyon]
-
A.
Kenyon
Kenyon is a young American sculptor in Nathaniel Hawthorne’s novel "The Marble Faun," representing artistic idealism and moral reflection amid the story’s Roman setting.
-
B.
Kelso
Kelso is a historic market town in the Scottish Borders, known for its picturesque setting at the confluence of the Rivers Tweed and Teviot and the ruins of Kelso Abbey.
-
C.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
D.
Denison
Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
-
E.
Bowling Green
Bowling Green is a small public park and historic site in Lower Manhattan, New York City, known as the city’s oldest park and for its proximity to the Financial District and Wall Street.
- 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: Kenyon Triple: [Lowton, locatedNear, Kenyon]
Generated description
Kenyon is a village in the Metropolitan Borough of Warrington, England, historically part of Lancashire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenyon Target entity description: Kenyon is a village in the Metropolitan Borough of Warrington, England, historically part of Lancashire.
-
A.
Kenyon
Kenyon is a young American sculptor in Nathaniel Hawthorne’s novel "The Marble Faun," representing artistic idealism and moral reflection amid the story’s Roman setting.
-
B.
Kelso
Kelso is a historic market town in the Scottish Borders, known for its picturesque setting at the confluence of the Rivers Tweed and Teviot and the ruins of Kelso Abbey.
-
C.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
D.
Denison
Denison is a city in north Texas known for its railroad heritage and as the birthplace of U.S. President Dwight D. Eisenhower.
-
E.
Bowling Green
Bowling Green is a small public park and historic site in Lower Manhattan, New York City, known as the city’s oldest park and for its proximity to the Financial District and Wall Street.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd658942e481908570cfec77fe4a4b |
completed | March 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43caec588190880c47f11d3f2daf |
completed | March 21, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69be44df4e808190bb65ea205446a98f |
completed | March 21, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45bc7b2c8190aa293d2c10077864 |
completed | March 21, 2026, 7:16 a.m. |
Created at: March 20, 2026, 1:21 p.m.