Triple

T4250790
Position Surface form Disambiguated ID Type / Status
Subject Province of Posen E95844 entity
Predicate contains P35 FINISHED
Object Bromberg
Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
 E428270 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: Bromberg | Statement: [Province of Posen, contains, Bromberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bromberg
Context triple: [Province of Posen, contains, Bromberg]
  • A. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • B. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • C. Friedland
    Friedland is a town in present-day Pravdinsk, Russia, historically notable as the site of the decisive 1807 Napoleonic battle between French and Russian forces.
  • D. Friedland
    Friedland is a municipality in Lower Saxony, Germany, known for its historic border location and post-World War II refugee transit camp.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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: Bromberg
Triple: [Province of Posen, contains, Bromberg]
Generated description
Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bromberg
Target entity description: Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
  • A. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • B. Elbing
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • C. Friedland
    Friedland is a town in present-day Pravdinsk, Russia, historically notable as the site of the decisive 1807 Napoleonic battle between French and Russian forces.
  • D. Friedland
    Friedland is a municipality in Lower Saxony, Germany, known for its historic border location and post-World War II refugee transit camp.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9f11008190a0021e0ad730a79d completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7151108819082b2f37945d6139e completed March 14, 2026, 8:37 p.m.
NEDg Description generation batch_69b5c79491a48190865aaa674baebd9b completed March 14, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_69b5c80ecc7481908deb061969a82c59 completed March 14, 2026, 8:41 p.m.
Created at: March 12, 2026, 11:06 p.m.