Triple
T13513291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中国人民解放军建军节 |
E322691
|
entity |
| Predicate | 适用群体 |
P106955
|
FINISHED |
| Object | 中国人民解放军现役军人 |
—
|
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: 中国人民解放军现役军人 | Statement: [中国人民解放军建军节, 适用群体, 中国人民解放军现役军人]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 适用群体 Context triple: [中国人民解放军建军节, 适用群体, 中国人民解放军现役军人]
-
A.
appliesToPerson
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific person.
-
B.
applicantType
Indicates the classification or category of an applicant in relation to an application or selection process.
-
C.
appliedToGroupType
chosen
Indicates that something (such as a rule, setting, or action) is applied specifically to a particular type or category of group rather than to individual members.
-
D.
eligiblePersons
Indicates that certain persons meet the required conditions or criteria to qualify for a particular status, benefit, or participation.
-
E.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.