Triple
T12228409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 香港特別行政區行政長官 |
E291412
|
entity |
| Predicate | 任命人 |
P257
|
FINISHED |
| Object | 中華人民共和國國務院總理 |
—
|
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: 中華人民共和國國務院總理 | Statement: [香港特別行政區行政長官, 任命人, 中華人民共和國國務院總理]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 任命人 Context triple: [香港特別行政區行政長官, 任命人, 中華人民共和國國務院總理]
-
A.
appointedBy
chosen
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
B.
appointedFrom
Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
-
C.
appointedAs
Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
-
D.
chairAppointmentBy
Indicates that one entity formally appoints another entity to serve as the chair of a committee, organization, or similar body.
-
E.
appointedByOffice
Indicates that an entity attains its position or role through a formal appointment made by a specific office or official authority.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.