Triple

T9415359
Position Surface form Disambiguated ID Type / Status
Subject Białystok County E227003 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Supraśl
Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
 E799315 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: Supraśl | Statement: [Białystok County, hasUrbanCenter, Supraśl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Supraśl
Context triple: [Białystok County, hasUrbanCenter, Supraśl]
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Trzciana
    Trzciana is a village in southern Poland historically notable as the site of the 1629 Battle of Trzciana during the Polish–Swedish War.
  • C. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • E. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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: Supraśl
Triple: [Białystok County, hasUrbanCenter, Supraśl]
Generated description
Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Supraśl
Target entity description: Supraśl is a small historic spa town in northeastern Poland, known for its Orthodox monastery complex and picturesque setting along the Supraśl River.
  • A. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • B. Trzciana
    Trzciana is a village in southern Poland historically notable as the site of the 1629 Battle of Trzciana during the Polish–Swedish War.
  • C. Słupia
    Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Wiślica
    Wiślica is a historic town in south-central Poland, known for its medieval architecture and archaeological significance as one of the country’s oldest settlements.
  • E. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c7bd648190b17f082883c98239 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11029d3348190baf0dba766c4e960 completed April 4, 2026, 1:20 p.m.
NEDg Description generation batch_69d111113c5c81909ff654734b211753 completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d111ab40a48190bb77c1cf80ef87a8 completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:48 p.m.