Triple

T6625736
Position Surface form Disambiguated ID Type / Status
Subject Białystok railway station E149794 entity
Predicate connectsTo P845 FINISHED
Object Trakiszki
Trakiszki is a village in northeastern Poland near the Lithuanian border, known for its railway station on an international rail route.
 E606320 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: Trakiszki | Statement: [Białystok railway station, connectsTo, Trakiszki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trakiszki
Context triple: [Białystok railway station, connectsTo, Trakiszki]
  • A. Trojanow
    Trojanow is a surname most notably borne by Ilija Trojanow, a Bulgarian–German writer, translator, and publisher known for his works on migration, globalization, and cultural encounters.
  • B. Turek
    Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
  • C. Balkar
    Balkar is a Turkic language spoken primarily by the Balkar people in the North Caucasus region of Russia.
  • D. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • E. Ciecere
    Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta 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: Trakiszki
Triple: [Białystok railway station, connectsTo, Trakiszki]
Generated description
Trakiszki is a village in northeastern Poland near the Lithuanian border, known for its railway station on an international rail route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trakiszki
Target entity description: Trakiszki is a village in northeastern Poland near the Lithuanian border, known for its railway station on an international rail route.
  • A. Trojanow
    Trojanow is a surname most notably borne by Ilija Trojanow, a Bulgarian–German writer, translator, and publisher known for his works on migration, globalization, and cultural encounters.
  • B. Turek
    Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
  • C. Balkar
    Balkar is a Turkic language spoken primarily by the Balkar people in the North Caucasus region of Russia.
  • D. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • E. Ciecere
    Ciecere is a river in western Latvia that serves as one of the tributaries of the Venta 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af8187d881908b7a86f2cae5de23 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44b251481909dca5ff82e1dbf0f completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e52ba51c81908439acc1a4af9d6e completed March 27, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69c6e5b6e6f48190a813fcd1473be4e1 completed March 27, 2026, 8:16 p.m.
Created at: March 27, 2026, 1:58 p.m.