Triple
T5048038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd SS Panzer Division Das Reich |
E113714
|
entity |
| Predicate | warCrimeType |
P7957
|
FINISHED |
| Object | massacre of civilians |
—
|
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: massacre of civilians | Statement: [2nd SS Panzer Division Das Reich, warCrimeType, massacre of civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warCrimeType Context triple: [2nd SS Panzer Division Das Reich, warCrimeType, massacre of civilians]
-
A.
warCrimesContext
Indicates a context in which actions or events are associated with the commission, investigation, or adjudication of war crimes.
-
B.
crimeType
chosen
Indicates the specific category or nature of the crime associated with an event or entity.
-
C.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
D.
associatedWithCrimesAgainstHumanity
Indicates a relationship in which an entity is linked or connected to the planning, commission, support, or responsibility for crimes against humanity.
-
E.
warCry
Indicates a relationship where an entity utters or performs a loud, rallying shout or chant intended to inspire allies or intimidate opponents, typically in a conflict or competitive context.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.