Triple
T34475409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foča municipality |
E885018
|
entity |
| Predicate | hasTypeOfCrimeRecognizedAs |
P49668
|
FINISHED |
| Object | crimes against humanity |
—
|
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: crimes against humanity | Statement: [Foča municipality, hasTypeOfCrimeRecognizedAs, crimes against humanity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfCrimeRecognizedAs Context triple: [Foča municipality, hasTypeOfCrimeRecognizedAs, crimes against humanity]
-
A.
hasClassifiedCrime
Indicates that an entity has been assigned or associated with a specific crime category or classification.
-
B.
recognitionOfCrimes
chosen
Indicates the formal acknowledgment or identification that certain actions or events constitute crimes under a legal or normative framework.
-
C.
hasCrimeElement
Indicates that a situation, action, or entity involves or contains a component that is legally recognized as part of a crime.
-
D.
hasCrimeLevel
Indicates the degree or severity of criminal activity associated with an entity or area.
-
E.
hasCrimeGroup
Indicates a relationship where an entity is associated with, belongs to, or is controlled by a particular criminal group or organization.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: May 1, 2026, 2:01 a.m.