Triple

T4144330
Position Surface form Disambiguated ID Type / Status
Subject Central Lithuania E89346 entity
Predicate hasMajorCity P316 FINISHED
Object Elektrėnai E431758 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: Elektrėnai | Statement: [Central Lithuania, hasMajorCity, Elektrėnai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elektrėnai
Context triple: [Central Lithuania, hasMajorCity, Elektrėnai]
  • A. Elektrėnai chosen
    Elektrėnai is a Lithuanian town best known for its major thermal power plant and artificial reservoir, which have made it an important energy and recreational center in the country.
  • B. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • C. Kėdainiai
    Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
  • D. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • E. Klaipėda
    Klaipėda is a Lithuanian port city on the Baltic Sea known as the country’s main maritime gateway and a key regional transport and industrial hub.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025d2984819095f299327cc399d5 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6721847ec8190bc4307ee958d1096 completed March 15, 2026, 8:47 a.m.
Created at: March 9, 2026, 3:43 p.m.