Triple
T35804174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 金鯱 |
E1035061
|
entity |
| Predicate | 関連文化財指定 |
P136708
|
FINISHED |
| Object | 名古屋城本丸御殿・天守関連の文化財とともに言及されることがある |
—
|
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: 名古屋城本丸御殿・天守関連の文化財とともに言及されることがある | Statement: [金鯱, 関連文化財指定, 名古屋城本丸御殿・天守関連の文化財とともに言及されることがある]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連文化財指定 Context triple: [金鯱, 関連文化財指定, 名古屋城本丸御殿・天守関連の文化財とともに言及されることがある]
-
A.
culturalProperty
Indicates that something is recognized or treated as a cultural property, typically denoting legal or heritage status tied to cultural significance.
-
B.
relationshipToNationalTreasures
Indicates a specified type of connection or association that an entity has with designated national treasures.
-
C.
isPartOfCulturalPropertyGroup
chosen
Indicates that something belongs to or is included within a defined group or collection of related cultural properties.
-
D.
hasImportantCulturalProperty
Indicates that an entity is recognized or designated as having significant cultural value or heritage importance.
-
E.
culturalDesignation
Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
- 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.