Triple

T3946997
Position Surface form Disambiguated ID Type / Status
Subject Łódź University of Technology E92170 entity
Predicate shortName P43 FINISHED
Object PŁ
PŁ is the Polish abbreviation for Łódź University of Technology, a major technical university located in Łódź, Poland.
 E401839 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: PŁ | Statement: [Łódź University of Technology, shortName, PŁ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PŁ
Context triple: [Łódź University of Technology, shortName, PŁ]
  • A. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • B. Piła
    Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
  • C. .pl
    .pl is the country code top-level domain (ccTLD) assigned to websites associated with Poland.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • 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: PŁ
Triple: [Łódź University of Technology, shortName, PŁ]
Generated description
PŁ is the Polish abbreviation for Łódź University of Technology, a major technical university located in Łódź, Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PŁ
Target entity description: PŁ is the Polish abbreviation for Łódź University of Technology, a major technical university located in Łódź, Poland.
  • A. Płośnica
    Płośnica is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its rural character and proximity to the region’s lakes and forests.
  • B. Piła
    Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
  • C. .pl
    .pl is the country code top-level domain (ccTLD) assigned to websites associated with Poland.
  • D. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • E. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef0db56cc8190a5303e8fe0efbfc2 completed March 9, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5339bc5d481909e750873d65fff4c completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b5345b408c8190a68c530edd1efb1f completed March 14, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69b5351fe4d081909c606f2ced0efbdc completed March 14, 2026, 10:14 a.m.
Created at: March 9, 2026, 3:24 p.m.