Triple
T21773127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trawniki |
E537484
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Trawniki (Polish) |
—
|
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 (Polish) | Statement: [Trawniki, hasNameInLanguage, Trawniki (Polish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trawniki (Polish) Context triple: [Trawniki, hasNameInLanguage, Trawniki (Polish)]
-
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.
Trzcianka
Trzcianka is a town in western Poland known for its historical architecture and surrounding lakes and forests.
-
C.
Zawady-Tworki
Zawady-Tworki is a small village located in Rawa County in central Poland.
-
D.
Poniatowa
Poniatowa is a town in eastern Poland historically known as the site of a Nazi German forced labor camp during World War II.
-
E.
Krzemień
Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
- 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.