Triple

T9313919
Position Surface form Disambiguated ID Type / Status
Subject Minsk Metro E224070 entity
Predicate hasStation P35 FINISHED
Object Uruchcha
Uruchcha is a metro station on the Minsk Metro system in Minsk, Belarus.
 E791399 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: Uruchcha | Statement: [Minsk Metro, hasStation, Uruchcha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uruchcha
Context triple: [Minsk Metro, hasStation, Uruchcha]
  • A. Oruzgan
    Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
  • B. Ulgulan
    Ulgulan was a major early 20th-century tribal uprising led by Birsa Munda against British colonial rule and exploitative landlords in eastern India.
  • C. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • D. Iturea
    Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
  • E. Galiyat
    Galiyat is a scenic, forested hill region in northern Pakistan known for its cool climate, mountain views, and popular tourist resorts such as Nathia Gali and Ayubia.
  • 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: Uruchcha
Triple: [Minsk Metro, hasStation, Uruchcha]
Generated description
Uruchcha is a metro station on the Minsk Metro system in Minsk, Belarus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uruchcha
Target entity description: Uruchcha is a metro station on the Minsk Metro system in Minsk, Belarus.
  • A. Oruzgan
    Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
  • B. Ulgulan
    Ulgulan was a major early 20th-century tribal uprising led by Birsa Munda against British colonial rule and exploitative landlords in eastern India.
  • C. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • D. Iturea
    Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
  • E. Galiyat
    Galiyat is a scenic, forested hill region in northern Pakistan known for its cool climate, mountain views, and popular tourist resorts such as Nathia Gali and Ayubia.
  • 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.