Triple
T12228430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 香港特別行政區行政長官 |
E291412
|
entity |
| Predicate | 制度類型 |
P31475
|
FINISHED |
| Object | 行政主導體制核心職位 |
—
|
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: 行政主導體制核心職位 | Statement: [香港特別行政區行政長官, 制度類型, 行政主導體制核心職位]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 制度類型 Context triple: [香港特別行政區行政長官, 制度類型, 行政主導體制核心職位]
-
A.
typicalLegalForm
Indicates the standard or commonly used legal organizational form associated with an entity.
-
B.
constitutionalRegime
chosen
Indicates that one entity functions as the constitutional system or framework of governance under which another entity is organized or operates.
-
C.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
-
D.
legalSystematizationOf
Indicates the process or state in which laws, regulations, or legal principles are organized, codified, or structured into a coherent legal system or framework for something.
-
E.
typeOfLegislation
Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
- 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.