Triple
T3909565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Trial Courts of the Philippines |
E87287
|
entity |
| Predicate | handlesOffenseCategory |
P15481
|
FINISHED |
| Object | offenses punishable by lower penalties |
—
|
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: offenses punishable by lower penalties | Statement: [Metropolitan Trial Courts of the Philippines, handlesOffenseCategory, offenses punishable by lower penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handlesOffenseCategory Context triple: [Metropolitan Trial Courts of the Philippines, handlesOffenseCategory, offenses punishable by lower penalties]
-
A.
definesOffence
Indicates that one entity specifies or establishes the nature, elements, or scope of an offence associated with another entity.
-
B.
targetOffenderType
Indicates the specific category or type of offender that an action, rule, or condition is directed toward.
-
C.
usedOffensiveSystem
Indicates that an entity employed an offensive system (such as a weapon or attack mechanism) against another entity or target.
-
D.
hasCategoryOn
chosen
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
E.
matchCategory
Indicates that two or more entities belong to the same category or share an equivalent classification.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.