Triple

T16495602
Position Surface form Disambiguated ID Type / Status
Subject Widzew Łódź E400674 entity
Predicate nickname P55 FINISHED
Object Widzewiacy E400675 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: Widzewiacy | Statement: [Widzew Łódź, nickname, Widzewiacy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Widzewiacy
Context triple: [Widzew Łódź, nickname, Widzewiacy]
  • A. Widzewiacy chosen
    Widzewiacy is the popular nickname for the players and supporters of the Polish football club Widzew Łódź.
  • B. Szczerców
    Szczerców is a village in central Poland known as the birthplace of renowned World War II general Stanisław Maczek.
  • C. Lisowczycy
    Lisowczycy were a notorious early 17th-century Polish–Lithuanian light cavalry formation known for their mobility, irregular warfare tactics, and widespread plundering across Central and Eastern Europe.
  • D. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • E. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • 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_6a005828849481909e95c5822ed6f74d completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.