Triple
T22927990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 釣魚臺列嶼 |
E569360
|
entity |
| Predicate | 地緣政治重要性 |
P12069
|
FINISHED |
| Object | 中日關係敏感議題 |
—
|
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: 中日關係敏感議題 | Statement: [釣魚臺列嶼, 地緣政治重要性, 中日關係敏感議題]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地緣政治重要性 Context triple: [釣魚臺列嶼, 地緣政治重要性, 中日關係敏感議題]
-
A.
geopoliticalSignificance
chosen
Indicates the importance or influence that a place, event, or relationship holds within regional or global political and strategic power dynamics.
-
B.
geopoliticalFactor
Indicates a relationship where one entity influences or shapes another through political, territorial, or international power dynamics and conditions.
-
C.
geopoliticalScope
Indicates the geographic or political area within which an entity’s authority, relevance, or effect is defined or applies.
-
D.
geopoliticalObjective
Indicates a relationship where an actor pursues, holds, or is associated with a strategic political or territorial goal at the level of states or regions.
-
E.
geopoliticalConcept
Indicates a conceptual or abstract geopolitical relationship, such as a political, territorial, or strategic notion connecting entities within a geopolitical 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_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.