Triple
T29352509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian fascism |
E744349
|
entity |
| Predicate | warCrimeCategory |
P95406
|
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: [Hungarian fascism, warCrimeCategory, crimes against humanity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warCrimeCategory Context triple: [Hungarian fascism, warCrimeCategory, crimes against humanity]
-
A.
warCrimesContext
Indicates a context in which actions or events are associated with the commission, investigation, or adjudication of war crimes.
-
B.
natureOfAtrocities
chosen
Indicates the specific type or character of atrocities associated with an event, action, or entity.
-
C.
associatedWithWarCrimePerpetrator
Indicates that an entity has a connection or involvement with an individual or group responsible for committing a war crime.
-
D.
massacreOccurredIn
Indicates that a massacre took place within the specified location or area.
-
E.
massacrePerpetrators
Indicates that the subject is responsible for carrying out or participating in a massacre against the object.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6695d19d48190b710de76e8666504 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:07 p.m.