Triple

T9313917
Position Surface form Disambiguated ID Type / Status
Subject Minsk Metro E224070 entity
Predicate hasStation P35 FINISHED
Object Ploshcha Jakuba Kolasa
Ploshcha Jakuba Kolasa is a Minsk Metro station named after the nearby square honoring Belarusian writer Yakub Kolas.
 E791397 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: Ploshcha Jakuba Kolasa | Statement: [Minsk Metro, hasStation, Ploshcha Jakuba Kolasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ploshcha Jakuba Kolasa
Context triple: [Minsk Metro, hasStation, Ploshcha Jakuba Kolasa]
  • A. Košljun
    Košljun is a small Croatian islet in the Adriatic Sea known for its historic Franciscan monastery and rich cultural and natural heritage.
  • B. Klanjec
    Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
  • C. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • D. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • E. Kostanjevica na Krki
    Kostanjevica na Krki is a historic Slovenian town situated on an island in the Krka River, known for its medieval architecture and cultural heritage.
  • 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: Ploshcha Jakuba Kolasa
Triple: [Minsk Metro, hasStation, Ploshcha Jakuba Kolasa]
Generated description
Ploshcha Jakuba Kolasa is a Minsk Metro station named after the nearby square honoring Belarusian writer Yakub Kolas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ploshcha Jakuba Kolasa
Target entity description: Ploshcha Jakuba Kolasa is a Minsk Metro station named after the nearby square honoring Belarusian writer Yakub Kolas.
  • A. Košljun
    Košljun is a small Croatian islet in the Adriatic Sea known for its historic Franciscan monastery and rich cultural and natural heritage.
  • B. Klanjec
    Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
  • C. Plesac
    Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
  • D. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • E. Kostanjevica na Krki
    Kostanjevica na Krki is a historic Slovenian town situated on an island in the Krka River, known for its medieval architecture and cultural heritage.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7a0adc4819097ac906f03f0188e completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0c8a7190c819097e71c15f7924268 completed April 4, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69d0c9e7e7d08190bddc6786f0fcea9e completed April 4, 2026, 8:20 a.m.
Created at: March 30, 2026, 7:37 p.m.