Triple
T17925634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 解放勋章 |
E448186
|
entity |
| Predicate | 评定标准特点 |
P17142
|
FINISHED |
| Object | 以职务、资历和战功综合评定 |
—
|
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: 以职务、资历和战功综合评定 | Statement: [解放勋章, 评定标准特点, 以职务、资历和战功综合评定]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 评定标准特点 Context triple: [解放勋章, 评定标准特点, 以职务、资历和战功综合评定]
-
A.
awardCriteria
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
B.
evaluationBasis
chosen
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
C.
evaluationCriteriaInclude
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
D.
assessmentBasis
Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
-
E.
hasQualityCriterion
Indicates that something is associated with a specific standard or criterion used to judge its quality.
- 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.