Triple

T16393667
Position Surface form Disambiguated ID Type / Status
Subject WB Electronics E398121 entity
Predicate headquartersLocation P62 FINISHED
Object Ożarów Mazowiecki 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: Ożarów Mazowiecki | Statement: [WB Electronics, headquartersLocation, Ożarów Mazowiecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ożarów Mazowiecki
Context triple: [WB Electronics, headquartersLocation, Ożarów Mazowiecki]
  • A. Ożarów Mazowiecki chosen
    Ożarów Mazowiecki is a town in east-central Poland, near Warsaw, known for its industrial and defense-related enterprises.
  • B. Ożarów
    Ożarów is a small town in south-eastern Poland, located in the Świętokrzyskie Voivodeship.
  • C. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • D. Ostrowiec Świętokrzyski
    Ostrowiec Świętokrzyski is a city in south-central Poland known for its steel industry and proximity to the Świętokrzyskie (Holy Cross) Mountains.
  • E. Nowy Dwór Mazowiecki
    Nowy Dwór Mazowiecki is a town in east-central Poland, situated near Warsaw at the confluence of the Vistula and Narew rivers and known for hosting the Warsaw Modlin Airport.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326447a7481909feac905edc707ec completed April 18, 2026, 6:35 a.m.
Created at: April 10, 2026, 5:08 a.m.