Triple
T9692269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Commission for Discipline Inspection |
E234563
|
entity |
| Predicate | enforcementMethods |
P79850
|
FINISHED |
| Object | party disciplinary inspections |
—
|
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: party disciplinary inspections | Statement: [Central Commission for Discipline Inspection, enforcementMethods, party disciplinary inspections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enforcementMethods Context triple: [Central Commission for Discipline Inspection, enforcementMethods, party disciplinary inspections]
-
A.
enforcement
Indicates the act of compelling compliance with rules, laws, or agreements through monitoring, pressure, or sanctions.
-
B.
enforcementModel
chosen
Indicates the method or framework by which rules, policies, or constraints are applied, monitored, and enforced within a system or interaction.
-
C.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
D.
enforcementStrength
Indicates the degree or intensity with which rules, laws, or policies are applied and enforced in a given context.
-
E.
diversionMethod
Indicates the method or tactic used to distract, mislead, or redirect attention or resources away from a primary target or activity.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d05d70c8190b1ddcd24b50b4f50 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.