Triple
T29794603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 豊郷町 |
E756511
|
entity |
| Predicate | アニメ作品との関係 |
P167881
|
FINISHED |
| Object | 『けいおん！』の学校のモデルとされる校舎がある |
—
|
LITERAL FINISHED |
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: 『けいおん！』の学校のモデルとされる校舎がある | Statement: [豊郷町, アニメ作品との関係, 『けいおん！』の学校のモデルとされる校舎がある]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: アニメ作品との関係 Context triple: [豊郷町, アニメ作品との関係, 『けいおん！』の学校のモデルとされる校舎がある]
-
A.
animeAdaptationBy
Indicates that one work is an anime adaptation created by a specific person, studio, or organization.
-
B.
includesAnimatedWorks
Indicates that the subject collection or set contains one or more works that are animated.
-
C.
hasRelationToOtherWork
Indicates that one work bears a specified relationship (such as adaptation, sequel, reference, or influence) to another distinct work.
-
D.
relatedToInFiction
Indicates that one entity is connected to another within a fictional context, such as a story, universe, or narrative work.
-
E.
isUnofficialAdaptationOf
Indicates that one work is an adaptation of another without being formally authorized, licensed, or officially recognized as such.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 29, 2026, 5:14 p.m.