Triple
T15947855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gusen concentration camp |
E386732
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gusen III |
E582353
|
NE 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: Gusen III | Statement: [Gusen concentration camp, hasPart, Gusen III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gusen III Context triple: [Gusen concentration camp, hasPart, Gusen III]
-
A.
Gusen III
chosen
Gusen III was a subcamp of the Nazi Mauthausen concentration camp complex, used for forced labor under brutal conditions during World War II.
-
B.
Gusen I
Gusen I was a major Nazi concentration camp in Austria, notorious for its brutal forced labor, extremely high death rate, and role in the Mauthausen camp complex during World War II.
-
C.
Gusen II
Gusen II was a brutal Nazi concentration camp subcamp in Austria where prisoners endured extreme forced labor, starvation, and mass murder during World War II.
-
D.
Guerini
Guerini is a French surname most notably borne by Stanislas Guerini, a contemporary French politician.
-
E.
Gorell
Gorell is the middle name of Arthur John Robin Gorell Milner, a British computer scientist known for his work in process calculi and concurrency theory.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d2fda8819085279d2a0f8a02ab |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bfe72c819095f40a255bcd7ad5 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.