Triple

T17210391
Position Surface form Disambiguated ID Type / Status
Subject Łódź tram network E417712 entity
Predicate serves P98 FINISHED
Object Ozorków NE NERFINISHED

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: Ozorków | Statement: [Łódź tram network, serves, Ozorków]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozorków
Context triple: [Łódź tram network, serves, Ozorków]
  • A. Ozorków chosen
    Ozorków is a town in central Poland, located in the Łódź Voivodeship and known historically for its textile industry and proximity to the city of Łódź.
  • B. Orłowo
    Orłowo is a coastal district of Gdynia in northern Poland, known for its scenic cliffs, pier, and Baltic Sea beaches.
  • C. Grodków
    Grodków is a small historic town in southwestern Poland known for its medieval origins and traditional Silesian character.
  • D. Rakowice
    Rakowice is a historic district in Kraków, Poland, known for its large military cemetery and proximity to the city center.
  • E. Bolków
    Bolków is a small historic town in southwestern Poland, best known for its medieval castle and annual rock music festival.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 5:38 a.m.