Triple

T17112126
Position Surface form Disambiguated ID Type / Status
Subject Kazlų Rūda E415250 entity
Predicate railwayConnection P848 FINISHED
Object Šeštokai
Šeštokai is a small town in southern Lithuania known as an important railway junction near the Polish border.
 E1251125 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: Šeštokai | Statement: [Kazlų Rūda, railwayConnection, Šeštokai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Šeštokai
Context triple: [Kazlų Rūda, railwayConnection, Šeštokai]
  • A. Šakiai
    Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Štirovnik
    Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
  • E. Molėtai
    Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational 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: Šeštokai
Triple: [Kazlų Rūda, railwayConnection, Šeštokai]
Generated description
Šeštokai is a small town in southern Lithuania known as an important railway junction near the Polish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Šeštokai
Target entity description: Šeštokai is a small town in southern Lithuania known as an important railway junction near the Polish border.
  • A. Šakiai
    Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Štirovnik
    Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
  • E. Molėtai
    Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a062d7c81908fe8cdc9e4637168 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013a8e69388190b8d48d70a28e99bd completed May 11, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a013b6824888190853cf36548507e1b completed May 11, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:35 a.m.