Triple
T31323136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Act No. 9165 |
E798804
|
entity |
| Predicate | coversOffense |
P180198
|
FINISHED |
| Object | importation of dangerous drugs |
—
|
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: importation of dangerous drugs | Statement: [Republic Act No. 9165, coversOffense, importation of dangerous drugs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversOffense Context triple: [Republic Act No. 9165, coversOffense, importation of dangerous drugs]
-
A.
offenseAgainst
Indicates that one party has committed a harmful, illegal, or rule-violating act directed against another party or entity.
-
B.
includesOffenseType
Indicates that one entity contains, specifies, or is associated with a particular category or type of offense.
-
C.
offenseDescription
Indicates the specific nature or characterization of an offense, typically summarizing what violation or wrongdoing occurred.
-
D.
typeOfOffenseAddressed
chosen
Indicates the specific category or kind of offense that a given action, measure, or legal provision is intended to address.
-
E.
offense
Indicates that one entity commits, causes, or is responsible for a violation, wrongdoing, or rule-breaking act against another entity or governing norms.
- 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_69f224e3238c8190b2291f50ea4962cd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 9:15 p.m.