Triple
T36128597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中国人民解放军预备役人员 |
E1044952
|
entity |
| Predicate | 法律基础 |
P125
|
FINISHED |
| Object | 《中华人民共和国兵役法》 |
—
|
NE NERFINISHED |
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: 《中华人民共和国兵役法》 | Statement: [中国人民解放军预备役人员, 法律基础, 《中华人民共和国兵役法》]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 法律基础 Context triple: [中国人民解放军预备役人员, 法律基础, 《中华人民共和国兵役法》]
-
A.
legalSystemBasis
Indicates the foundational legal framework, tradition, or set of principles on which a legal system is based.
-
B.
legalBasis
chosen
Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
-
C.
legalFeature
Indicates that something possesses a specific legal characteristic, status, or attribute relevant to laws or regulations.
-
D.
lawLibrary
Indicates a relationship where a location or resource functions as a library specifically dedicated to legal materials, services, or research.
-
E.
law
Indicates that one entity establishes, embodies, or enforces a rule or system of rules governing the behavior or relations of another entity.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.