Triple

T13875225
Position Surface form Disambiguated ID Type / Status
Subject Gliwice E333563 entity
Predicate germanName P6492 FINISHED
Object Gleiwitz
Gleiwitz is the German name for Gliwice, a historic industrial city in southern Poland’s Silesia region.
 E1067049 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: Gleiwitz | Statement: [Gliwice, germanName, Gleiwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gleiwitz
Context triple: [Gliwice, germanName, Gleiwitz]
  • A. Litzmannstadt
    Litzmannstadt was the German name for the Polish city of Łódź during its occupation by Nazi Germany in World War II.
  • B. Postelwitz
    Postelwitz is a riverside district of the spa town Bad Schandau in Saxon Switzerland, eastern Germany, known for its traditional Elbe-front houses and scenic sandstone surroundings.
  • C. Kasendorf
    Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
  • D. Jedwabno
    Jedwabno is a small town in northern Poland located within the Warmian-Masurian Voivodeship, an area known for its lakes and forests.
  • E. Glogau
    Glogau is the German name for the town of Głogów, a historic city in southwestern Poland on the Oder River.
  • 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: Gleiwitz
Triple: [Gliwice, germanName, Gleiwitz]
Generated description
Gleiwitz is the German name for Gliwice, a historic industrial city in southern Poland’s Silesia region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gleiwitz
Target entity description: Gleiwitz is the German name for Gliwice, a historic industrial city in southern Poland’s Silesia region.
  • A. Litzmannstadt
    Litzmannstadt was the German name for the Polish city of Łódź during its occupation by Nazi Germany in World War II.
  • B. Postelwitz
    Postelwitz is a riverside district of the spa town Bad Schandau in Saxon Switzerland, eastern Germany, known for its traditional Elbe-front houses and scenic sandstone surroundings.
  • C. Kasendorf
    Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
  • D. Jedwabno
    Jedwabno is a small town in northern Poland located within the Warmian-Masurian Voivodeship, an area known for its lakes and forests.
  • E. Glogau
    Glogau is the German name for the town of Głogów, a historic city in southwestern Poland on the Oder River.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be556708190bbcf0b3583f677e3 completed April 14, 2026, 9:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c109ac5c819090b2b7e43334f904 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c2c711948190ac614291592a7e03 completed May 3, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69f7c36f28b48190b734a9e5e7ae39b9 completed May 3, 2026, 9:51 p.m.
Created at: April 9, 2026, 10:15 p.m.