Triple
T28879116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 伊良部大橋 |
E732362
|
entity |
| Predicate | 設計上の特徴 |
P57584
|
FINISHED |
| Object | 台風や高波に耐える設計がなされている |
—
|
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: 台風や高波に耐える設計がなされている | Statement: [伊良部大橋, 設計上の特徴, 台風や高波に耐える設計がなされている]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 設計上の特徴 Context triple: [伊良部大橋, 設計上の特徴, 台風や高波に耐える設計がなされている]
-
A.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
B.
testedDesignFeature
Indicates that a specific design feature has been subjected to a test or evaluation process.
-
C.
previousDesignFeature
Indicates that one design feature precedes another in a sequence or earlier version of a design.
-
D.
usedDesignFeature
Indicates that one entity employed or incorporated a particular design feature in its creation, implementation, or functionality.
-
E.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a4d874c819094de2d585e1f5816 |
completed | May 2, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 7:41 a.m.