Triple
T23171342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gusen I |
E578867
|
entity |
| Predicate | victimGroup |
P699
|
FINISHED |
| Object | Italians |
—
|
NE NERFINISHED |
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: Italians | Statement: [Gusen I, victimGroup, Italians]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italians Context triple: [Gusen I, victimGroup, Italians]
-
A.
Italians
chosen
Italians are a Romance-speaking ethnic group native primarily to the Italian Peninsula, known for their rich cultural heritage in art, cuisine, music, and history.
-
B.
Tuscans
Tuscans are a central Italian ethnic group primarily associated with the region of Tuscany, known for their distinct dialect, rich cultural heritage, and historical influence on art, literature, and the development of the Italian language.
-
C.
Meneghini
Meneghini is an Italian surname most notably associated with Giovanni Battista Meneghini, the husband and manager of opera singer Maria Callas.
-
D.
Italo
Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
-
E.
Italo
Italo is a private Italian high-speed train operator known for connecting major cities across Italy with fast, modern rail services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f3007108190bc3c831f81ae1dce |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.