Triple

T16495737
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Łódź E400678 entity
Predicate seat P75 FINISHED
Object Łódź City Hall E400679 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: Łódź City Hall | Statement: [Mayor of Łódź, seat, Łódź City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łódź City Hall
Context triple: [Mayor of Łódź, seat, Łódź City Hall]
  • A. Łódź City Hall chosen
    Łódź City Hall is the main municipal government building and administrative center of the city of Łódź, Poland.
  • B. Poznań Town Hall
    Poznań Town Hall is a Renaissance-style historic city hall in Poznań, Poland, famed for its ornate façade and mechanical billy goats that butt heads daily at noon.
  • C. Wrocław Town Hall
    Wrocław Town Hall is a historic Gothic-style municipal building and former seat of city authorities located in the Market Square of Wrocław, Poland.
  • D. Opole Town Hall
    Opole Town Hall is a historic Renaissance-style municipal building in Opole, Poland, known for its distinctive tower and role as the seat of the city authorities.
  • E. Warsaw City Hall
    Warsaw City Hall is the main administrative headquarters of the municipal government of Poland’s capital city, housing the offices of the mayor and key city authorities.
  • 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.