Triple

T21182381
Position Surface form Disambiguated ID Type / Status
Subject south-central Poland E521983 entity
Predicate contains P35 FINISHED
Object city of Końskie 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: city of Końskie | Statement: [south-central Poland, contains, city of Końskie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Końskie
Context triple: [south-central Poland, contains, city of Końskie]
  • A. Kościan
    Kościan is a historic town in west-central Poland, located in the Greater Poland region south of Poznań.
  • B. Kędzierzyn-Koźle
    Kędzierzyn-Koźle is a town in southern Poland known as an important industrial and river port center on the Oder River.
  • C. Kozienice
    Kozienice is a town in east-central Poland known for its large coal-fired power plant and proximity to the Kozienice Landscape Park.
  • D. Końskie chosen
    Końskie is a town in south-central Poland known historically as a local industrial and administrative center.
  • E. Kociewie
    Kociewie is an ethnocultural region in northern Poland known for its distinct folk traditions, dialect, and rural landscapes.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301eb3248190b9f6fc1586651fec completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:04 p.m.