Triple

T23024907
Position Surface form Disambiguated ID Type / Status
Subject Gmina Bogoria E573277 entity
Predicate hasSettlement P1068 FINISHED
Object Bogoria 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: Bogoria | Statement: [Gmina Bogoria, hasSettlement, Bogoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bogoria
Context triple: [Gmina Bogoria, hasSettlement, Bogoria]
  • A. Bogoria chosen
    Bogoria is a village and the seat of a rural administrative district (gmina) in south-central Poland.
  • B. Imburu
    Imburu is a settlement associated with the Bachama people, an ethnic group primarily located in Adamawa State, Nigeria.
  • C. Uru Uru Lake
    Uru Uru Lake is a shallow, high-altitude saline lake in the Bolivian Altiplano, known for its ecological importance and vulnerability to pollution and water level fluctuations.
  • D. Calibato Lake
    Calibato Lake is one of the seven crater lakes of San Pablo City in Laguna, Philippines, known for its scenic volcanic setting and freshwater ecosystem.
  • E. Boeri Lake
    Boeri Lake is a high-altitude crater lake in Dominica, known for its cool, misty setting and scenic hiking trail within Morne Trois Pitons National Park.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847c671c8190a8095051d8c3cf93 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.