Triple

T5943489
Position Surface form Disambiguated ID Type / Status
Subject Jelgava E132222 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Šiauliai
Šiauliai is one of the largest cities in Lithuania, known as a regional industrial and cultural center in the northern part of the country.
 E556607 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: Šiauliai | Statement: [Jelgava, hasRailConnectionTo, Šiauliai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Šiauliai
Context triple: [Jelgava, hasRailConnectionTo, Šiauliai]
  • A. 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.
  • B. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • C. Telšiai
    Telšiai is a historic city in northwestern Lithuania that serves as the cultural and administrative center of the Samogitia region.
  • D. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • E. Panevėžys
    Panevėžys is a major city in northern Lithuania known as an important regional industrial and cultural center.
  • 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: Šiauliai
Triple: [Jelgava, hasRailConnectionTo, Šiauliai]
Generated description
Šiauliai is one of the largest cities in Lithuania, known as a regional industrial and cultural center in the northern part of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Šiauliai
Target entity description: Šiauliai is one of the largest cities in Lithuania, known as a regional industrial and cultural center in the northern part of the country.
  • A. 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.
  • B. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • C. Telšiai
    Telšiai is a historic city in northwestern Lithuania that serves as the cultural and administrative center of the Samogitia region.
  • D. Švenčionys
    Švenčionys is a small historic town in eastern Lithuania known for its multicultural past and former Jewish community.
  • E. Panevėžys
    Panevėžys is a major city in northern Lithuania known as an important regional industrial and cultural center.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393641d0819081c6c44816d94e4e completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c07f9ab081909fe7727837fa7f7a completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c1c02b608190a42850a15cf9d2c6 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c443df6c8190b7b566fa46177cfd completed March 23, 2026, 4:40 a.m.
Created at: March 22, 2026, 4:01 p.m.