Triple
T34641602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libria |
E889572
|
entity |
| Predicate | hasClassifiedCrime |
P194097
|
FINISHED |
| Object | sense offense |
—
|
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: sense offense | Statement: [Libria, hasClassifiedCrime, sense offense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassifiedCrime Context triple: [Libria, hasClassifiedCrime, sense offense]
-
A.
hasCrimeGroup
Indicates a relationship where an entity is associated with, belongs to, or is controlled by a particular criminal group or organization.
-
B.
hasCriminalElement
Indicates that the subject involves, contains, or is associated with an illegal or criminal component, activity, or characteristic.
-
C.
consideredCriminalBy
Indicates that one party regards or classifies another party as a criminal according to its own laws, rules, or judgments.
-
D.
hasCrimeElement
Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
-
E.
hasCriminalJurisdictionOver
Indicates that one authority or legal body holds the power to investigate, prosecute, and adjudicate criminal offenses committed within a specified scope or territory in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: May 1, 2026, 2:04 a.m.