Triple
T17925633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 解放勋章 |
E448186
|
entity |
| Predicate | 所属体系 |
P71779
|
FINISHED |
| Object | 中华人民共和国功勋荣誉表彰体系 |
—
|
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: 中华人民共和国功勋荣誉表彰体系 | Statement: [解放勋章, 所属体系, 中华人民共和国功勋荣誉表彰体系]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 所属体系 Context triple: [解放勋章, 所属体系, 中华人民共和国功勋荣誉表彰体系]
-
A.
所属园林体系
Indicates that one entity belongs to, or is part of, a particular garden or landscape management system.
-
B.
belongsToSystemType
chosen
Indicates that one entity is classified under, or is a member of, a particular system type.
-
C.
associatedSystem
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
-
D.
belongsToAdministrativeSystem
Indicates that one entity is part of, or under the jurisdiction of, a particular administrative system or framework.
-
E.
classificationSystemName
Indicates the name or label assigned to a particular classification system used to categorize or organize entities.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54e03588190b36a9bb88e4085de |
completed | April 19, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:20 a.m.