Triple
T18794117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen Municipal People’s Congress |
E459588
|
entity |
| Predicate | appointmentPower |
P87523
|
FINISHED |
| Object | approves or removes key municipal officials |
—
|
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: approves or removes key municipal officials | Statement: [Shenzhen Municipal People’s Congress, appointmentPower, approves or removes key municipal officials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentPower Context triple: [Shenzhen Municipal People’s Congress, appointmentPower, approves or removes key municipal officials]
-
A.
appointmentPowerOver
chosen
Indicates that one entity has the authority to appoint, select, or assign another entity to a role, position, or function.
-
B.
appointmentBy
Indicates that one entity is appointed or designated to a role, position, or task by another entity.
-
C.
appointmentBody
Indicates that one entity serves as the main content or body text associated with a particular appointment.
-
D.
appointmentTerm
Indicates the duration or specific period for which an appointment, position, or role is held.
-
E.
appointmentType
Indicates the specific category or nature of an appointment associated with an entity or event.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a01cc0c0819098ef4326e82ff524 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.