Triple
T32387785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belt and Road Forum for International Cooperation |
E827584
|
entity |
| Predicate | thirdEditionHostLeader |
P186481
|
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, thirdEditionHostLeader, Xi Jinping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdEditionHostLeader Context triple: [Belt and Road Forum for International Cooperation, thirdEditionHostLeader, Xi Jinping]
-
A.
mainLeader3
Indicates that an entity serves as the third primary or most prominent leader within a specified group, organization, or context.
-
B.
edition2023Host
Indicates that the subject is the host or organizing entity for the 2023 edition of an event, program, or series.
-
C.
edition2015Host
Indicates that the subject entity served as the host of the 2015 edition of the referenced event or series.
-
D.
edition2019Host
Indicates that the subject served as the host of the 2019 edition of a particular event or series.
-
E.
thirdHolder
Indicates that an entity serves as the third holder or possessor of another entity in a sequence or ordered set of holders.
- 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_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 1, 2026, 12:51 a.m.