Triple
T12228428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 香港特別行政區行政長官 |
E291412
|
entity |
| Predicate | 主要職責 |
P56094
|
FINISHED |
| Object | 在必要時向中央人民政府提出請求處理香港特別行政區無法自行處理的事務 |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: 在必要時向中央人民政府提出請求處理香港特別行政區無法自行處理的事務 | Statement: [香港特別行政區行政長官, 主要職責, 在必要時向中央人民政府提出請求處理香港特別行政區無法自行處理的事務]
Provenance (2 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_69d93ed7251c8190b94d7cd75ad49b9c |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:51 p.m.