Triple

T16495646
Position Surface form Disambiguated ID Type / Status
Subject Widzewiacy E400675 entity
Predicate associatedClub P9671 FINISHED
Object Widzew Łódź E90937 NE FINISHED

How this triple was built (2 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 Łódź | Statement: [Widzewiacy, associatedClub, Widzew Łódź]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Widzew Łódź
Context triple: [Widzewiacy, associatedClub, Widzew Łódź]
  • A. Widzew Łódź chosen
    Widzew Łódź is a Polish professional football club from the city of Łódź, historically known as one of the country’s most successful and popular teams.
  • B. Łódź Fabryczna
    Łódź Fabryczna is a major modern railway terminus in Łódź, Poland, serving as one of the city’s primary long-distance and regional train hubs.
  • C. Widzew
    Widzew is a Polish football club from Łódź known for its rich history and passionate fan base.
  • D. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • E. Wola
    Wola is a central district of Warsaw, Poland, known for its industrial heritage, residential neighborhoods, and significant role in the city's history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e332c1c8190888a042d0192233a completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607cbc80819088505d8bdd663109 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.