Triple
T32387784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belt and Road Forum for International Cooperation |
E827584
|
entity |
| Predicate | secondEditionHostLeader |
P197527
|
FINISHED |
| Object | Xi Jinping |
—
|
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: Xi Jinping | Statement: [Belt and Road Forum for International Cooperation, secondEditionHostLeader, Xi Jinping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondEditionHostLeader Context triple: [Belt and Road Forum for International Cooperation, secondEditionHostLeader, Xi Jinping]
-
A.
secondLeader
Indicates that an entity serves as the second-ranking leader or deputy leader in relation to another entity.
-
B.
thirdEditionHostLeader
Indicates that an entity served as the primary host or leader for the third edition of a recurring event or series.
-
C.
secondEditionChampion
Indicates that an entity is the champion or winner of the second edition or iteration of a particular event, competition, or series.
-
D.
secondEditionRunnerUp
Indicates that an entity finished as the runner-up (second place) in the second edition of a particular event or competition.
-
E.
secondEditionHostCity
Indicates the city that hosted the second edition of a recurring event or competition.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69fe991abc6c81908edbb98d61c9ca73 |
completed | May 9, 2026, 2:16 a.m. |
Created at: May 1, 2026, 12:51 a.m.