Triple
T23088561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 贺龙 |
E575680
|
entity |
| Predicate | 军衔 |
P342
|
FINISHED |
| Object | 中华人民共和国元帅 |
—
|
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: 中华人民共和国元帅 | Statement: [贺龙, 军衔, 中华人民共和国元帅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 军衔 Context triple: [贺龙, 军衔, 中华人民共和国元帅]
-
A.
勲等
Indicates the rank or grade of an honor or decoration awarded for merit or achievement.
-
B.
militaryRank
chosen
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
C.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
-
D.
militaryRankScope
Indicates the hierarchical level or range of authority that a military rank applies to within an organizational or operational context.
-
E.
isMilitaryOrderGrade
Indicates that one entity is classified as a specific grade or level within a military order or honor system in relation to 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da7c54c81908b62d04ab1811b06 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.