Triple
T6307813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōiso |
E141421
|
entity |
| Predicate | hasEducationalInstitution |
P113
|
FINISHED |
| Object |
Oiso High School
Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
|
E584749
|
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: Oiso High School | Statement: [Ōiso, hasEducationalInstitution, Oiso High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oiso High School Context triple: [Ōiso, hasEducationalInstitution, Oiso High School]
-
A.
Syosset High School
Syosset High School is a public high school in Syosset, New York, known for its strong academics and notable alumni in entertainment, business, and public life.
-
B.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
C.
Tumut High School
Tumut High School is a secondary education institution serving students in the town of Tumut, New South Wales, Australia.
-
D.
Weemawee High School
Weemawee High School is the fictional suburban high school where the 1980s teen sitcom "Square Pegs" takes place.
-
E.
Kathleen High School
Kathleen High School is a public high school in Lakeland, Florida, best known for being the alma mater of Pro Football Hall of Famer Ray Lewis.
- 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: Oiso High School Triple: [Ōiso, hasEducationalInstitution, Oiso High School]
Generated description
Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oiso High School Target entity description: Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
-
A.
Syosset High School
Syosset High School is a public high school in Syosset, New York, known for its strong academics and notable alumni in entertainment, business, and public life.
-
B.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
C.
Tumut High School
Tumut High School is a secondary education institution serving students in the town of Tumut, New South Wales, Australia.
-
D.
Weemawee High School
Weemawee High School is the fictional suburban high school where the 1980s teen sitcom "Square Pegs" takes place.
-
E.
Kathleen High School
Kathleen High School is a public high school in Lakeland, Florida, best known for being the alma mater of Pro Football Hall of Famer Ray Lewis.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647d38008190abaf96632712ddf9 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45330ec8190945682962ae823b0 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5ed89dbc88190abda05d9d06fb7b5 |
completed | March 27, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5ee08cc488190baaafc1e679f83aa |
completed | March 27, 2026, 2:40 a.m. |
Created at: March 22, 2026, 4:28 p.m.