Triple

T20026422
Position Surface form Disambiguated ID Type / Status
Subject Bernolákovo E494993 entity
Predicate locatedIn P40 FINISHED
Object Senec District 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: Senec District | Statement: [Bernolákovo, locatedIn, Senec District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Senec District
Context triple: [Bernolákovo, locatedIn, Senec District]
  • A. Senec District chosen
    Senec District is an administrative district in western Slovakia, known for its rapidly developing suburban areas and popular recreational lakes near the capital city of Bratislava.
  • B. Evensky District
    Evensky District is an administrative district in Magadan Oblast, Russia, encompassing remote settlements such as Severo-Evensk in the country’s Far East.
  • C. Baney District
    Baney District is an administrative district in Equatorial Guinea centered around the town of Baney on the island of Bioko.
  • D. Centerville District
    Centerville District is a historic neighborhood and commercial area within the city of Fremont, California.
  • E. Berea District
    Berea District is an administrative district in northwestern Lesotho known for its agricultural activities and proximity to the capital, Maseru.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628e1eec81908e4c9b2b0b68f0e4 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.