Triple

T11746666
Position Surface form Disambiguated ID Type / Status
Subject Aukštaitija E279296 entity
Predicate majorCity P316 FINISHED
Object Ukmergė E620183 NE FINISHED

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: Ukmergė | Statement: [Aukštaitija, majorCity, Ukmergė]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ukmergė
Context triple: [Aukštaitija, majorCity, Ukmergė]
  • A. Ukmergė chosen
    Ukmergė is a historic town in central Lithuania known for its location along the Šventoji River and its role as a regional cultural and administrative center.
  • B. Šilutė
    Šilutė is a town in western Lithuania known for its location near the Nemunas River delta and its historical ties to the former East Prussian region.
  • C. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • D. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • E. Terikiai
    Terikiai is a village settlement located on the atoll of Tabiteuea in the island nation of Kiribati.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1308339ac8190b579a8c1bee2a2c2 completed April 28, 2026, 10:11 p.m.
Created at: April 8, 2026, 9:41 p.m.