Triple

T6937116
Position Surface form Disambiguated ID Type / Status
Subject Wisława Szymborska E160580 entity
Predicate givenName P17 FINISHED
Object Wisława
Wisława is the Polish given name of Nobel Prize–winning poet Wisława Szymborska.
E328935 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: Wisława | Statement: [Wisława Szymborska, givenName, Wisława]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisława
Context triple: [Wisława Szymborska, givenName, Wisława]
  • A. Motława
    Motława is a river in northern Poland that flows through the historic city of Gdańsk and into the Vistula Lagoon.
  • B. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Ewelina
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • D. Iława
    Iława is a town in northern Poland known for its lakeside location on Jeziorak Lake and its role as a local economic and tourist center in the Warmian-Masurian region.
  • E. Martwa Wisła
    Martwa Wisła is a branch of the Vistula River in northern Poland, flowing through the Gdańsk area and historically serving as an important waterway for the city.
  • 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: Wisława
Triple: [Wisława Szymborska, givenName, Wisława]
Generated description
Wisława is the Polish given name of Nobel Prize–winning poet Wisława Szymborska.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wisława
Target entity description: Wisława is the Polish given name of Nobel Prize–winning poet Wisława Szymborska.
  • A. Motława
    Motława is a river in northern Poland that flows through the historic city of Gdańsk and into the Vistula Lagoon.
  • B. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • C. Ewelina chosen
    Ewelina is a feminine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • D. Iława
    Iława is a town in northern Poland known for its lakeside location on Jeziorak Lake and its role as a local economic and tourist center in the Warmian-Masurian region.
  • E. Martwa Wisła
    Martwa Wisła is a branch of the Vistula River in northern Poland, flowing through the Gdańsk area and historically serving as an important waterway for the city.
  • F. None of above.

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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da606328819095eb852f7a0842dc completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75151d5e48190b2389ae9049d1454 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c752ab5f648190b7899ae2ebfc5a7d completed March 28, 2026, 4:01 a.m.
NED2 Entity disambiguation (via description) batch_69c753954df88190a22fe591d915d060 completed March 28, 2026, 4:05 a.m.
Created at: March 27, 2026, 2:27 p.m.