Triple

T21182561
Position Surface form Disambiguated ID Type / Status
Subject Gmina Górno E521988 entity
Predicate containsSettlement P847 FINISHED
Object Krajno Pierwsze 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: Krajno Pierwsze | Statement: [Gmina Górno, containsSettlement, Krajno Pierwsze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krajno Pierwsze
Context triple: [Gmina Górno, containsSettlement, Krajno Pierwsze]
  • A. Krajno chosen
    Krajno is a village in south-central Poland located within the administrative district of Gmina Górno in the Świętokrzyskie region.
  • B. Zarzecze
    Zarzecze is a village in southeastern Poland historically associated with Polish statesman Aleksander Skrzyński, who maintained a residence there.
  • C. Krajna
    Krajna is a historical and ethnographic region in north-central Poland, known for its rural landscapes and mixed cultural influences from neighboring Polish regions.
  • D. Czeladź
    Czeladź is a historic industrial town in southern Poland, located in the Silesian metropolitan area near Katowice.
  • E. Tyśmienica
    Tyśmienica is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
  • 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.