Triple
T22927997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 釣魚臺列嶼 |
E569360
|
entity |
| Predicate | 歷史背景 |
P43371
|
FINISHED |
| Object | 二戰後隨琉球由美國託管 |
—
|
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: 二戰後隨琉球由美國託管 | Statement: [釣魚臺列嶼, 歷史背景, 二戰後隨琉球由美國託管]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 歷史背景 Context triple: [釣魚臺列嶼, 歷史背景, 二戰後隨琉球由美國託管]
-
A.
historicalBackground
chosen
Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
-
B.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
-
C.
politicalHistory
Indicates that there exists a historical political relationship, involvement, or background connecting the entities, such as past offices held, affiliations, or political events linking them.
-
D.
historicalSection
Indicates that one entity is a section, part, or subdivision of another entity specifically in a historical or past version of its structure or organization.
-
E.
historical
Indicates that the subject has existed, occurred, or been relevant in the past rather than in the present or future.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180db6db88190bc8efb691dcdfdba |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:43 p.m.