Triple

T17210205
Position Surface form Disambiguated ID Type / Status
Subject Łódź Widzew railway station E417707 entity
Predicate locatedInDistrict P40 FINISHED
Object Widzew
Widzew is a district in the city of Łódź, Poland, known as a major residential and transport hub on the eastern side of the city.
E1255343 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: Widzew | Statement: [Łódź Widzew railway station, locatedInDistrict, Widzew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Widzew
Context triple: [Łódź Widzew railway station, locatedInDistrict, Widzew]
  • A. Widzew
    Widzew is a Polish football club from Łódź known for its rich history and passionate fan base.
  • B. Siewierz
    Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
  • C. Wolyniec
    Wolyniec is a Polish-origin surname most notably associated with American soccer player and coach John Wolyniec.
  • D. Witów
    Witów is a village in southern Poland, located in the Tatra region and known as a base for exploring the nearby mountains and valleys.
  • E. Wilczyce
    Wilczyce is a village in southeastern Poland that serves as the seat of the rural administrative district Gmina Wilczyce in Sandomierz County.
  • 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: Widzew
Triple: [Łódź Widzew railway station, locatedInDistrict, Widzew]
Generated description
Widzew is a district in the city of Łódź, Poland, known as a major residential and transport hub on the eastern side of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Widzew
Target entity description: Widzew is a district in the city of Łódź, Poland, known as a major residential and transport hub on the eastern side of the city.
  • A. Widzew
    Widzew is a Polish football club from Łódź known for its rich history and passionate fan base.
  • B. Siewierz
    Siewierz is a historic town in southern Poland, known for its medieval castle ruins and location within the Silesian region.
  • C. Wolyniec
    Wolyniec is a Polish-origin surname most notably associated with American soccer player and coach John Wolyniec.
  • D. Witów
    Witów is a village in southern Poland, located in the Tatra region and known as a base for exploring the nearby mountains and valleys.
  • E. Wilczyce
    Wilczyce is a village in southeastern Poland that serves as the seat of the rural administrative district Gmina Wilczyce in Sandomierz County.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc4792081909443df7937768ede completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe217308190b6ae1e98d0c421e4 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0160e95f1481908058aed285968991 completed May 11, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01617888ac8190af2a91a4bd28b402 completed May 11, 2026, 4:56 a.m.
Created at: April 10, 2026, 5:38 a.m.