Triple
T22927994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 釣魚臺列嶼 |
E569360
|
entity |
| Predicate | 中華人民共和國主張 |
P150288
|
FINISHED |
| Object | 屬於中國固有領土 |
—
|
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: 屬於中國固有領土 | Statement: [釣魚臺列嶼, 中華人民共和國主張, 屬於中國固有領土]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 中華人民共和國主張 Context triple: [釣魚臺列嶼, 中華人民共和國主張, 屬於中國固有領土]
-
A.
isMainlandTerritoryOf
Indicates that a territory constitutes the primary continental landmass belonging to a particular country or sovereign entity.
-
B.
isPartOfCrossStraitRelations
Indicates that something belongs to, affects, or is involved in the political, economic, social, or cultural interactions and dynamics between the two sides of the Taiwan Strait.
-
C.
positionOnCrossStraitRelations
Indicates a stance or viewpoint an entity holds regarding political, economic, or diplomatic relations between the two sides of the Taiwan Strait.
-
D.
formerUNSeatHolderForChina
Indicates that the subject previously held China’s seat in the United Nations before the current recognized representative.
-
E.
affirmsTerritorialIntegrityOf
Indicates that one entity formally recognizes and supports the existing territorial boundaries and sovereignty of another entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:43 p.m.