Triple
T5002377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 摺鉢山 |
E112402
|
entity |
| Predicate | 象徴性 |
P129
|
FINISHED |
| Object | 太平洋戦争の象徴的な場所の一つとみなされている |
—
|
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: 太平洋戦争の象徴的な場所の一つとみなされている | Statement: [摺鉢山, 象徴性, 太平洋戦争の象徴的な場所の一つとみなされている]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 象徴性 Context triple: [摺鉢山, 象徴性, 太平洋戦争の象徴的な場所の一つとみなされている]
-
A.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
-
C.
symbolDesigned
Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for another entity.
-
D.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
E.
iconographicFunction
Indicates the symbolic or representational role that something serves within an image or visual composition.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.