Triple
T37061791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 学校法人常翔学園 |
E917341
|
entity |
| Predicate | 本部キャンパス |
P69454
|
FINISHED |
| Object |
常翔学園中学校・高等学校キャンパス(大阪市旭区)
常翔学園中学校・高等学校キャンパス(大阪市旭区)は、大阪市旭区に位置し、中高一貫教育を行う常翔学園の中核的な教育拠点となっているキャンパスである。
|
E2209943
|
NE FINISHED |
How this triple was built (3 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: 常翔学園中学校・高等学校キャンパス(大阪市旭区) | Statement: [学校法人常翔学園, 本部キャンパス, 常翔学園中学校・高等学校キャンパス(大阪市旭区)]
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: 常翔学園中学校・高等学校キャンパス(大阪市旭区) Triple: [学校法人常翔学園, 本部キャンパス, 常翔学園中学校・高等学校キャンパス(大阪市旭区)]
Generated description
常翔学園中学校・高等学校キャンパス(大阪市旭区)は、大阪市旭区に位置し、中高一貫教育を行う常翔学園の中核的な教育拠点となっているキャンパスである。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 本部キャンパス Context triple: [学校法人常翔学園, 本部キャンパス, 常翔学園中学校・高等学校キャンパス(大阪市旭区)]
-
A.
otherMainCampus
Indicates that an institution has an additional primary campus distinct from its main campus.
-
B.
campus1
chosen
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
C.
isPartOfCampus
Indicates that one place, facility, or area is located within and belongs to a larger campus.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
campusOfNationalUniversity
Indicates that one entity is a campus belonging to or administered by a national university.
- F. None of above.
Provenance (6 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c5715e8819082c99d589abd3baa |
completed | June 26, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_6a3e95ede37c8190976559fecd7917b3 |
completed | June 26, 2026, 3:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3e9914a3e48190bf59606bacf80c87 |
completed | June 26, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.