Triple
T1080172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China |
E23926
|
entity |
| Predicate | movedCapitalToTaipei |
P10184
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [Republic of China, movedCapitalToTaipei, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movedCapitalToTaipei Context triple: [Republic of China, movedCapitalToTaipei, 1949]
-
A.
yearGovernmentMovedToTaiwan
chosen
Indicates the year in which a government relocated its seat or central administration to Taiwan.
-
B.
dateCapitalMoved
Indicates the date on which a capital city was officially relocated from one place to another.
-
C.
laterSeatOfGovernment
Indicates that the referenced place served as a subsequent seat of government for the same political entity after an earlier one.
-
D.
reunifiedAsCapitalInYear
Indicates that an entity regained its status as a capital city in a specified year after a period of not holding that status.
-
E.
formerCapitalOf
Indicates that a place once served as the capital of another entity (such as a country or region) but no longer holds that status.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b94509d08190964509ea4a2d7912 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73d9f08819093668104f129840e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.