Triple

T1945049
Position Surface form Disambiguated ID Type / Status
Subject Warmia-Masuria region E42042 entity
Predicate hasMajorCity P316 FINISHED
Object Elbląg
Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
 E330705 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: Elbląg | Statement: [Warmia-Masuria region, hasMajorCity, Elbląg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elbląg
Context triple: [Warmia-Masuria region, hasMajorCity, Elbląg]
  • A. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • B. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • C. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Gdańsk
    Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
  • E. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • 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: Elbląg
Triple: [Warmia-Masuria region, hasMajorCity, Elbląg]
Generated description
Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elbląg
Target entity description: Elbląg is a historic city in northern Poland known for its reconstructed Old Town, medieval heritage, and role as an important port and industrial center.
  • A. Koszalin
    Koszalin is a city in northwestern Poland near the Baltic Sea, known as a regional cultural and economic center.
  • B. Kwidzyn
    Kwidzyn is a historic town in northern Poland known for its medieval Teutonic castle complex and Gothic cathedral.
  • C. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Gdańsk
    Gdańsk is a major Polish port city on the Baltic Sea, known for its rich Hanseatic history, shipyards, and role in the origins of the Solidarity movement.
  • E. Tczew
    Tczew is a historic town in northern Poland on the Vistula River, known for its important railway bridges and role as a regional transport hub.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2ff43108190af37ad12d123dcba completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2247dfcf88190ac85cc10e5700363 completed March 12, 2026, 2:27 a.m.
NEDg Description generation batch_69b2254ac6d88190b40c7c5b5a0f4eba completed March 12, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69b225c6c2d88190adb381023e0c3219 completed March 12, 2026, 2:32 a.m.
Created at: March 4, 2026, 7:36 p.m.