Triple

T4405260
Position Surface form Disambiguated ID Type / Status
Subject Samogitia E93714 entity
Predicate administrativeCenterHistorical P14584 FINISHED
Object Varniai
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
 E445695 NE FINISHED

How this triple was built (4 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: Varniai | Statement: [Samogitia, administrativeCenterHistorical, Varniai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Varniai
Context triple: [Samogitia, administrativeCenterHistorical, Varniai]
  • A. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • B. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • C. Mažeikiai
    Mažeikiai is a town in northwestern Lithuania known for its large oil refinery and role as an industrial and transport hub in the Samogitia region.
  • D. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • E. Elektrėnai
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Varniai
Triple: [Samogitia, administrativeCenterHistorical, Varniai]
Generated description
Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Varniai
Target entity description: Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
  • A. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • B. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • C. Mažeikiai
    Mažeikiai is a town in northwestern Lithuania known for its large oil refinery and role as an industrial and transport hub in the Samogitia region.
  • D. Vardzia
    Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
  • E. Elektrėnai
    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.
  • F. None of above. chosen

Provenance (5 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b35488d5b8819087370dd77249aefb completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69bb80cd81d08190ad1d65091cecdfac completed March 19, 2026, 4:51 a.m.
NEDg Description generation batch_69bb839526c48190adeb2a8bccc82ff2 completed March 19, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69bb83ddb6ac8190bb5d48b27f2511b1 completed March 19, 2026, 5:04 a.m.
Created at: March 12, 2026, 11:28 p.m.