Triple

T2845129
Position Surface form Disambiguated ID Type / Status
Subject Reichsgau Wartheland E62564 entity
Predicate containsCity P294 FINISHED
Object Ostrów Wielkopolski
Ostrów Wielkopolski is a town in west-central Poland known for its industrial heritage and role as a local economic and cultural center in the Greater Poland region.
 E419109 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: Ostrów Wielkopolski | Statement: [Reichsgau Wartheland, containsCity, Ostrów Wielkopolski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ostrów Wielkopolski
Context triple: [Reichsgau Wartheland, containsCity, Ostrów Wielkopolski]
  • A. Lidzbark Warmiński
    Lidzbark Warmiński is a historic town in northern Poland known for its well-preserved Gothic castle and role as a former seat of the Warmian bishops.
  • B. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • D. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • E. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • 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: Ostrów Wielkopolski
Triple: [Reichsgau Wartheland, containsCity, Ostrów Wielkopolski]
Generated description
Ostrów Wielkopolski is a town in west-central Poland known for its industrial heritage and role as a local economic and cultural center in the Greater Poland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ostrów Wielkopolski
Target entity description: Ostrów Wielkopolski is a town in west-central Poland known for its industrial heritage and role as a local economic and cultural center in the Greater Poland region.
  • A. Lidzbark Warmiński
    Lidzbark Warmiński is a historic town in northern Poland known for its well-preserved Gothic castle and role as a former seat of the Warmian bishops.
  • B. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • D. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • E. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b589aa20688190a74a65b0563c3938 completed March 14, 2026, 4:15 p.m.
NEDg Description generation batch_69b58aa95428819085048691c77e2aea completed March 14, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69b58b34c4e881909fd44fbe8acedda4 completed March 14, 2026, 4:22 p.m.
Created at: March 6, 2026, 10:02 p.m.