Triple
T33343651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubrowkan military police |
E853737
|
entity |
| Predicate | enforcesLawOn |
P61008
|
FINISHED |
| Object | military personnel of the Republic of Zubrowka |
—
|
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: military personnel of the Republic of Zubrowka | Statement: [Zubrowkan military police, enforcesLawOn, military personnel of the Republic of Zubrowka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enforcesLawOn Context triple: [Zubrowkan military police, enforcesLawOn, military personnel of the Republic of Zubrowka]
-
A.
enforcesLawThrough
Indicates that one entity upholds, applies, or executes laws or legal rules by means of another entity, mechanism, or process.
-
B.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
C.
enforcement
Indicates the act of compelling compliance with rules, laws, or agreements through monitoring, pressure, or sanctions.
-
D.
lawEnforcementFunction
chosen
Indicates that an entity performs, is responsible for, or is associated with official law enforcement duties or activities.
-
E.
typeOfLawEnforcement
Indicates that one entity is a specific kind or category of law enforcement associated with 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.