Triple
T9890684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 五星红旗 |
E181441
|
entity |
| Predicate | 法律地位 |
P69795
|
FINISHED |
| Object | 受《中华人民共和国国旗法》保护 |
—
|
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: 受《中华人民共和国国旗法》保护 | Statement: [五星红旗, 法律地位, 受《中华人民共和国国旗法》保护]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 法律地位 Context triple: [五星红旗, 法律地位, 受《中华人民共和国国旗法》保护]
-
A.
legalStatusInChina
chosen
Indicates the legal status or standing that an entity holds under the laws and regulations of China.
-
B.
legalAuthorityIn
Indicates that an entity holds official legal power, jurisdiction, or governing authority within a specified area or domain.
-
C.
legalEmbodimentOf
Indicates that one entity serves as the legally recognized form, vehicle, or representation through which another entity exists, acts, or holds rights and obligations in law.
-
D.
legalStatusOfAuthority
Indicates the legal status or standing that a particular authority holds within a given legal or regulatory framework.
-
E.
legalAuthorityLevel
Indicates the degree or rank of formal legal power or jurisdiction an entity holds in relation to another or within a given context.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47dfa908190884e96e5e5d6f41f |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.