Triple
T37060757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 天野川 |
E917316
|
entity |
| Predicate | 文化的関連 |
P162881
|
FINISHED |
| Object | 七夕伝説 |
—
|
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: 七夕伝説 | Statement: [天野川, 文化的関連, 七夕伝説]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 文化的関連 Context triple: [天野川, 文化的関連, 七夕伝説]
-
A.
cultureRelatedTo
chosen
Indicates a relationship where one entity is connected, associated, or relevant to the culture, traditions, or cultural context of another entity.
-
B.
hasCulturalRelation
Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
-
C.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
culturalRegister
Indicates the level or type of formality, style, or social context in which language or behavior is used or appropriate.
-
E.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular 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_69f76e95fa40819091e14681087ae5e4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.