Triple

T1547868
Position Surface form Disambiguated ID Type / Status
Subject Greater Poland E33019 entity
Predicate majorCity P316 FINISHED
Object Piła
Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
 E341962 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: Piła | Statement: [Greater Poland, majorCity, Piła]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Piła
Context triple: [Greater Poland, majorCity, Piła]
  • A. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • B. Sopot
    Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
  • C. Sopot
    Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
  • D. Kościerzyna
    Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
  • E. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • 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: Piła
Triple: [Greater Poland, majorCity, Piła]
Generated description
Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Piła
Target entity description: Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
  • A. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • B. Sopot
    Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
  • C. Sopot
    Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
  • D. Kościerzyna
    Kościerzyna is a historic town in northern Poland known as a local cultural and economic center within the Kashubian region.
  • E. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb20dd5a88190b3d6e6f0004fe9b4 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b28d6c6db881908a45f53bf78fe22a completed March 12, 2026, 9:54 a.m.
NEDg Description generation batch_69b28f6d8a948190b9aac1b90de472d6 completed March 12, 2026, 10:03 a.m.
NED2 Entity disambiguation (via description) batch_69b2c08b196881908e72596d54ab8873 completed March 12, 2026, 1:32 p.m.
Created at: March 4, 2026, 7:26 p.m.