Triple
T35804167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 金鯱 |
E1035061
|
entity |
| Predicate | 時代的特徴 |
P114334
|
FINISHED |
| Object | 江戸時代の城郭に多く見られる |
—
|
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: 江戸時代の城郭に多く見られる | Statement: [金鯱, 時代的特徴, 江戸時代の城郭に多く見られる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 時代的特徴 Context triple: [金鯱, 時代的特徴, 江戸時代の城郭に多く見られる]
-
A.
periodCharacterizedBy
chosen
Indicates that a specific time period is defined or distinguished by a particular characteristic, condition, or feature.
-
B.
展望の特徴
Indicates a characteristic or feature that describes the nature or quality of a prospect, outlook, or future view.
-
C.
historicalCharacteristic
Indicates that an entity possesses a trait, feature, or quality that is rooted in or defined by its history or past events.
-
D.
themeCharacteristic
Indicates that a characteristic, quality, or property is attributed to or associated with a particular theme.
-
E.
cultureCharacteristic
Indicates that a particular trait, practice, or feature is a defining characteristic of a given culture.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.