Triple
T5647303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trawniki concentration camp |
E124415
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Trawniki
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.
|
E537484
|
NE FINISHED |
How this triple was built (4 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 concentration camp, locatedIn, Trawniki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trawniki Context triple: [Trawniki concentration camp, locatedIn, Trawniki]
-
A.
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.
-
B.
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
-
C.
Jedwabno
Jedwabno is a small town in northern Poland located within the Warmian-Masurian Voivodeship, an area known for its lakes and forests.
-
D.
Gorlice
Gorlice is a historic town in southern Poland known for its role in the World War I Battle of Gorlice–Tarnów and its early oil industry.
-
E.
Kraśnik
Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trawniki Triple: [Trawniki concentration camp, locatedIn, Trawniki]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trawniki Target entity description: 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.
-
A.
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.
-
B.
Dzyarzhynsk
Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
-
C.
Jedwabno
Jedwabno is a small town in northern Poland located within the Warmian-Masurian Voivodeship, an area known for its lakes and forests.
-
D.
Gorlice
Gorlice is a historic town in southern Poland known for its role in the World War I Battle of Gorlice–Tarnów and its early oil industry.
-
E.
Kraśnik
Kraśnik is a town in eastern Poland known for its historical architecture and location within the Lublin region.
- F. None of above. chosen
Provenance (5 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022abf0108190b10b3a9fe1688bf9 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d88bbf08190b32d1ad157e28fe4 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04edbf1f081908d74d0ac29601a35 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7f40908190af52c6b3ca041e14 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:41 p.m.