Triple
T21773096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trawniki training camp |
E537484
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Trawniki |
—
|
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: Trawniki | Statement: [Trawniki training camp, locatedIn, Trawniki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trawniki Context triple: [Trawniki training camp, locatedIn, Trawniki]
-
A.
Trawniki
chosen
Trawniki is a village in eastern Poland historically known as the site of a Nazi SS training camp and concentration camp during World War II.
-
B.
Koziatyn
Koziatyn is a small city in central Ukraine known as a local railway junction and administrative center within Vinnytsia Oblast.
-
C.
Drohiczyn
Drohiczyn is a historic town in eastern Poland, picturesquely situated on the Bug River and known for its rich cultural and religious heritage.
-
D.
Černá Pole
Černá Pole is a residential district in Brno, Czech Republic, known for its early 20th-century architecture and as the location of the UNESCO-listed modernist Villa Tugendhat.
-
E.
Litzmannstadt
Litzmannstadt was the German name for the Polish city of Łódź during its occupation by Nazi Germany in World War II.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031b0ce28819093a891f50a77dfc6 |
completed | April 28, 2026, 4:04 a.m. |
Created at: April 16, 2026, 6:51 p.m.