Triple
T29794604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 豊郷町 |
E756511
|
entity |
| Predicate | 所在する旧校舎の設計者 |
P56224
|
FINISHED |
| Object | ウィリアム・メレル・ヴォーリズ |
—
|
NE NERFINISHED |
How this triple was built (2 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: ウィリアム・メレル・ヴォーリズ | Statement: [豊郷町, 所在する旧校舎の設計者, ウィリアム・メレル・ヴォーリズ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所在する旧校舎の設計者 Context triple: [豊郷町, 所在する旧校舎の設計者, ウィリアム・メレル・ヴォーリズ]
-
A.
architectOfFormerBuilding
Indicates that an entity served as the architect of a building that no longer exists or has been replaced.
-
B.
buildingArchitectOfOriginal
chosen
Indicates that an entity is the architect responsible for the original design of a particular building.
-
C.
designedBySchool
Indicates that something was created, planned, or developed by a particular school or educational institution.
-
D.
architectOfCommissionedBuilding
Indicates that a person served as the architect responsible for designing a building that was specifically commissioned.
-
E.
architectOfStructure
Indicates that an entity is the designer or creator responsible for the architectural design of a particular structure.
- F. None of above.
Provenance (3 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f674e5cf0c81908f779723cf602daf |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:14 p.m.