Triple

T4405238
Position Surface form Disambiguated ID Type / Status
Subject Samogitia E93714 entity
Predicate majorCity P316 FINISHED
Object 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.
 E445526 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: Mažeikiai | Statement: [Samogitia, majorCity, Mažeikiai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mažeikiai
Context triple: [Samogitia, majorCity, Mažeikiai]
  • A. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • B. Kėdainiai
    Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
  • C. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • D. 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.
  • E. Alytus
    Alytus is a city in southern Lithuania known as a regional cultural and economic center on the banks of the Nemunas River.
  • 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: Mažeikiai
Triple: [Samogitia, majorCity, Mažeikiai]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mažeikiai
Target entity description: 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.
  • A. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • B. Kėdainiai
    Kėdainiai is a historic city in central Lithuania known for its well-preserved old town and multicultural heritage.
  • C. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • D. 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.
  • E. Alytus
    Alytus is a city in southern Lithuania known as a regional cultural and economic center on the banks of the Nemunas River.
  • 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_69bb61047c88819080943c2ce62c0ffd completed March 19, 2026, 2:35 a.m.
NEDg Description generation batch_69bb677e0ad08190a93a465ce023ab05 completed March 19, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69bb67f4e46c8190b5d4a07a54845b44 completed March 19, 2026, 3:05 a.m.
Created at: March 12, 2026, 11:28 p.m.