Triple
T18897092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen Municipal Party Committee Secretary |
E462236
|
entity |
| Predicate | notSelectedBy |
P90843
|
FINISHED |
| Object | direct popular election |
—
|
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: direct popular election | Statement: [Shenzhen Municipal Party Committee Secretary, notSelectedBy, direct popular election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notSelectedBy Context triple: [Shenzhen Municipal Party Committee Secretary, notSelectedBy, direct popular election]
-
A.
notSelectedIn
Indicates that an entity was considered but ultimately not chosen or included within a particular set, group, or selection process.
-
B.
notElectedBy
chosen
Indicates that an individual or entity did not attain a position, role, or status through the voting or selection process of a specified group or electorate.
-
C.
notTouchedBy
Indicates that one entity has not made physical contact with another entity.
-
D.
notUsedAt
Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
-
E.
selectedAt
Indicates that an entity was chosen or picked at a specific point in time or under particular selection conditions.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47f6c948190918ade08bb88f1fd |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.