Triple
T4576366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China (Taiwan) |
E123148
|
entity |
| Predicate | formerUNSeatHolderForChina |
P58075
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Republic of China (Taiwan), formerUNSeatHolderForChina, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerUNSeatHolderForChina Context triple: [Republic of China (Taiwan), formerUNSeatHolderForChina, Yes]
-
A.
ChineseLeader
Indicates that the subject is a person who holds or has held a top political leadership position in China.
-
B.
formerPoliticalEntity
Indicates that an entity was once a political entity (such as a state, country, or polity) but no longer exists in that political form.
-
C.
UNMemberState
Indicates that a country is a recognized member state of the United Nations.
-
D.
formerGoverningCountry
Indicates that one country previously held governing or colonial authority over another country or territory.
-
E.
receivesDiplomaticAccreditationFrom
Indicates that an entity is formally recognized and accepted in an official diplomatic capacity by another entity that grants the accreditation.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58dfe3508190b21836079e951a3c |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:10 p.m.