Triple
T36765924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holocaust in Yugoslavia |
E908336
|
entity |
| Predicate | estimatedNumberOfRomaVictims |
P187614
|
FINISHED |
| Object | tens of thousands |
—
|
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: tens of thousands | Statement: [Holocaust in Yugoslavia, estimatedNumberOfRomaVictims, tens of thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfRomaVictims Context triple: [Holocaust in Yugoslavia, estimatedNumberOfRomaVictims, tens of thousands]
-
A.
numberOfGermanVictims
Indicates the quantity of victims who are identified as German in the context of the described event or situation.
-
B.
numberOfTortureVictims
Indicates the quantity of individuals who have been subjected to torture.
-
C.
numberOfJewsKilled
Indicates the quantity of Jewish people who were killed in a given event, context, or time period.
-
D.
massacreCasualtiesEstimate
Indicates an estimated number of people who were killed or injured as a result of a massacre.
-
E.
numberOfVictimsInMassGraves
Indicates the count of individuals who were killed and buried together in mass graves associated with a particular event or context.
- 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 3, 2026, 4:12 p.m.