Triple

T4405233
Position Surface form Disambiguated ID Type / Status
Subject Samogitia E93714 entity
Predicate hasCapital P204 FINISHED
Object Telšiai
Telšiai is a historic city in northwestern Lithuania that serves as the cultural and administrative center of the Samogitia region.
 E445267 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: Telšiai | Statement: [Samogitia, hasCapital, Telšiai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Telšiai
Context triple: [Samogitia, hasCapital, Telšiai]
  • A. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • B. Panevėžys
    Panevėžys is a major city in northern Lithuania known as an important regional industrial and cultural center.
  • C. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • D. Kaunas
    Kaunas is the second-largest city in Lithuania, known as a historic cultural and academic center located at the confluence of the Nemunas and Neris rivers.
  • 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. 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: Telšiai
Triple: [Samogitia, hasCapital, Telšiai]
Generated description
Telšiai is a historic city in northwestern Lithuania that serves as the cultural and administrative center of the Samogitia region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Telšiai
Target entity description: Telšiai is a historic city in northwestern Lithuania that serves as the cultural and administrative center of the Samogitia region.
  • A. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • B. Panevėžys
    Panevėžys is a major city in northern Lithuania known as an important regional industrial and cultural center.
  • C. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • D. Kaunas
    Kaunas is the second-largest city in Lithuania, known as a historic cultural and academic center located at the confluence of the Nemunas and Neris rivers.
  • 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. 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_69b67baa14648190811970a45dd0d185 completed March 15, 2026, 9:28 a.m.
NEDg Description generation batch_69b67ffd42908190b6b0b79d12266fa6 completed March 15, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69b680db60ec81909a58427ab7be15d7 completed March 15, 2026, 9:50 a.m.
Created at: March 12, 2026, 11:28 p.m.