Triple
T7115824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover, Ohio |
E165815
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object |
Dover High School
Dover High School is a public secondary school serving students in grades 9–12 in the city of Dover, Ohio.
|
E643837
|
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: Dover High School | Statement: [Dover, Ohio, hasHighSchool, Dover High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dover High School Context triple: [Dover, Ohio, hasHighSchool, Dover High School]
-
A.
Dover High School
Dover High School is a public secondary school serving students in the city of Dover, New Hampshire.
-
B.
Dover City Schools
Dover City Schools is a public school district serving the educational needs of students in the city of Dover, Ohio.
-
C.
Brandywine High School
Brandywine High School is a public secondary school in Delaware known in part for having First Lady Jill Biden as a former teacher.
-
D.
Londonderry High School
Londonderry High School is a public secondary school serving students in grades 9–12 in the town of Londonderry, New Hampshire.
-
E.
Dryden High School
Dryden High School is a secondary school serving students in the community of Dryden, Ontario, Canada.
- 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: Dover High School Triple: [Dover, Ohio, hasHighSchool, Dover High School]
Generated description
Dover High School is a public secondary school serving students in grades 9–12 in the city of Dover, Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dover High School Target entity description: Dover High School is a public secondary school serving students in grades 9–12 in the city of Dover, Ohio.
-
A.
Dover High School
Dover High School is a public secondary school serving students in the city of Dover, New Hampshire.
-
B.
Dover City Schools
Dover City Schools is a public school district serving the educational needs of students in the city of Dover, Ohio.
-
C.
Brandywine High School
Brandywine High School is a public secondary school in Delaware known in part for having First Lady Jill Biden as a former teacher.
-
D.
Londonderry High School
Londonderry High School is a public secondary school serving students in grades 9–12 in the town of Londonderry, New Hampshire.
-
E.
Dryden High School
Dryden High School is a secondary school serving students in the community of Dryden, Ontario, Canada.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5f401b881909ef4c2ab1e0750db |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a32870e481909472f8fcd2501289 |
completed | March 28, 2026, 9:45 a.m. |
| NEDg | Description generation | batch_69c7a390cf6c8190902bdfd0ff536093 |
completed | March 28, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7a4be1cbc8190a7e4eb91d604f994 |
completed | March 28, 2026, 9:51 a.m. |
Created at: March 27, 2026, 2:43 p.m.