Triple
T4417202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winona, Minnesota, United States |
E95002
|
entity |
| Predicate | hasEducationalInstitution |
P113
|
FINISHED |
| Object |
Cotter Schools
Cotter Schools is a private Catholic college preparatory school system located in Winona, Minnesota.
|
E437529
|
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: Cotter Schools | Statement: [Winona, Minnesota, United States, hasEducationalInstitution, Cotter Schools]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cotter Schools Context triple: [Winona, Minnesota, United States, hasEducationalInstitution, Cotter Schools]
-
A.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
-
B.
South School
South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
-
C.
Kateri School
Kateri School is an educational institution serving the community of Kahnawà:ke, a Mohawk territory near Montreal, Canada.
-
D.
Peter Woodbury School
Peter Woodbury School is a public elementary school serving young students in the Bedford, New Hampshire community.
-
E.
Union School
Union School is a public elementary school serving students in the town of Farmington, Connecticut.
- 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: Cotter Schools Triple: [Winona, Minnesota, United States, hasEducationalInstitution, Cotter Schools]
Generated description
Cotter Schools is a private Catholic college preparatory school system located in Winona, Minnesota.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cotter Schools Target entity description: Cotter Schools is a private Catholic college preparatory school system located in Winona, Minnesota.
-
A.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
-
B.
South School
South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
-
C.
Kateri School
Kateri School is an educational institution serving the community of Kahnawà:ke, a Mohawk territory near Montreal, Canada.
-
D.
Peter Woodbury School
Peter Woodbury School is a public elementary school serving young students in the Bedford, New Hampshire community.
-
E.
Union School
Union School is a public elementary school serving students in the town of Farmington, Connecticut.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551d5d7481908528c2de0a6fda06 |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f61b56a8819099b5302f1b53f76d |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f709063c81909334a5b21da99c22 |
completed | March 15, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7887cb08190bf498eefc3627bfa |
completed | March 15, 2026, 12:04 a.m. |
Created at: March 12, 2026, 11:29 p.m.