Triple
T36128608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中国人民解放军预备役人员 |
E1044952
|
entity |
| Predicate | 身份特征 |
P101268
|
FINISHED |
| Object | 平时以地方社会身份为主 |
—
|
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: 平时以地方社会身份为主 | Statement: [中国人民解放军预备役人员, 身份特征, 平时以地方社会身份为主]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 身份特征 Context triple: [中国人民解放军预备役人员, 身份特征, 平时以地方社会身份为主]
-
A.
身分
Indicates a relationship where an entity holds a particular social, legal, or role-based status or identity in relation to a group, institution, or context.
-
B.
identityFeatures
chosen
Indicates that certain characteristics or attributes are used to define, distinguish, or uniquely identify an entity.
-
C.
性格
Indicates a relationship where one entity’s personality, character, or temperament is being described, attributed, or characterized in relation to that entity.
-
D.
身位
Indicates the relative positional relationship or spacing between entities, often in terms of distance, alignment, or stance.
-
E.
identityShapedBy
Indicates that one entity’s identity is influenced, formed, or defined by another entity or factor.
- 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.