Triple
T24516507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Koo–Wang talks |
E606383
|
entity |
| Predicate | mainRepresentativeFromMainlandChina |
P156585
|
FINISHED |
| Object | Wang Daohan |
—
|
NE NERFINISHED |
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: Wang Daohan | Statement: [1993 Koo–Wang talks, mainRepresentativeFromMainlandChina, Wang Daohan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRepresentativeFromMainlandChina Context triple: [1993 Koo–Wang talks, mainRepresentativeFromMainlandChina, Wang Daohan]
-
A.
formerUNSeatHolderForChina
Indicates that the subject previously held China’s seat in the United Nations before the current recognized representative.
-
B.
isMainlandTerritoryOf
Indicates that a territory constitutes the primary continental landmass belonging to a particular country or sovereign entity.
-
C.
ChineseLeader
Indicates that the subject is a person who holds or has held a top political leadership position in China.
-
D.
nonDiplomaticRepresentationInTaiwan
Indicates that an entity maintains a representative presence or office in Taiwan that is not accorded formal diplomatic status.
-
E.
isOneOfChinaFourMunicipalities
Indicates that the subject is one of the four directly administered municipalities of China (Beijing, Shanghai, Tianjin, or Chongqing).
- 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_69e2c4c725148190a4e41577c5cb409c |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:24 a.m.