Triple
T959293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Joaquin County |
E20697
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Ripon
Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
|
E128918
|
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: Ripon | Statement: [San Joaquin County, containsCity, Ripon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ripon Context triple: [San Joaquin County, containsCity, Ripon]
-
A.
City of York
The City of York is a historic cathedral city in North Yorkshire, England, renowned for its medieval walls, Gothic York Minster, and well-preserved old town.
-
B.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
C.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
-
D.
Whitby
Whitby is a town in Ontario, Canada, located east of Toronto on the north shore of Lake Ontario and known as a suburban community within the Durham Region.
-
E.
Canterbury
Canterbury is a large region on New Zealand’s South Island, centered on the city of Christchurch and known for its expansive plains, alpine scenery, and diverse communities.
- 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: Ripon Triple: [San Joaquin County, containsCity, Ripon]
Generated description
Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ripon Target entity description: Ripon is a small city in California’s Central Valley known for its agricultural roots and tight-knit community.
-
A.
City of York
The City of York is a historic cathedral city in North Yorkshire, England, renowned for its medieval walls, Gothic York Minster, and well-preserved old town.
-
B.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
C.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
-
D.
Whitby
Whitby is a town in Ontario, Canada, located east of Toronto on the north shore of Lake Ontario and known as a suburban community within the Durham Region.
-
E.
Canterbury
Canterbury is a large region on New Zealand’s South Island, centered on the city of Christchurch and known for its expansive plains, alpine scenery, and diverse communities.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b412f9f48190be123e8c20f38962 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac537ba7c08190966fa4a29da90310 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac5579b6d48190ace899245178085b |
completed | March 7, 2026, 4:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac55ea6028819093304731eb65af77 |
completed | March 7, 2026, 4:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.