Triple
T22806967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guelph/Eramosa Township |
E564562
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Everton
Everton is a small rural community located within Guelph/Eramosa Township in Ontario, Canada.
|
E1556262
|
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: Everton | Statement: [Guelph/Eramosa Township, hasSettlement, Everton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everton Context triple: [Guelph/Eramosa Township, hasSettlement, Everton]
-
A.
Everton
Everton is a district of Liverpool, England, best known as the namesake and historic home area of Everton Football Club.
-
B.
Everton
Everton is a masculine given name of English origin, historically used in the Anglophone world.
-
C.
Everton
Everton is a small rural village and civil parish in the Bassetlaw district of Nottinghamshire, England.
-
D.
Everton F.C.
Everton F.C. is a historic professional football club from Liverpool that competes in the English football league system and is known as one of the country’s oldest and most established teams.
-
E.
Southampton F.C.
Southampton F.C. is a professional English football club based in Southampton, known for competing in the top tiers of English football and developing talented players through its renowned academy.
- 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: Everton Triple: [Guelph/Eramosa Township, hasSettlement, Everton]
Generated description
Everton is a small rural community located within Guelph/Eramosa Township in Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Everton Target entity description: Everton is a small rural community located within Guelph/Eramosa Township in Ontario, Canada.
-
A.
Everton
Everton is a district of Liverpool, England, best known as the namesake and historic home area of Everton Football Club.
-
B.
Everton
Everton is a small rural village and civil parish in the Bassetlaw district of Nottinghamshire, England.
-
C.
Everton
Everton is a masculine given name of English origin, historically used in the Anglophone world.
-
D.
Everton F.C.
Everton F.C. is a historic professional football club from Liverpool that competes in the English football league system and is known as one of the country’s oldest and most established teams.
-
E.
Southampton F.C.
Southampton F.C. is a professional English football club based in Southampton, known for competing in the top tiers of English football and developing talented players through its renowned academy.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5d41dc819081912d9e29828bfb |
completed | April 29, 2026, 3:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7a442508190b0aa8f64694c501a |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba81bade88190bc0f4225600509a2 |
completed | May 19, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8c3d6c88190944df9358dd58c4e |
completed | May 19, 2026, 12:03 a.m. |
Created at: April 17, 2026, 3:32 p.m.