Triple

T571173
Position Surface form Disambiguated ID Type / Status
Subject Belarus E13665 entity
Predicate highestPoint P210 FINISHED
Object Dzyarzhynskaya Hara
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
E72761 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: Dzyarzhynskaya Hara | Statement: [Belarus, highestPoint, Dzyarzhynskaya Hara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dzyarzhynskaya Hara
Context triple: [Belarus, highestPoint, Dzyarzhynskaya Hara]
  • A. Vyshny Volochyok
    Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
  • B. Ksudach
    Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
  • C. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • D. Valdai Hills
    Valdai Hills is a hilly upland region in western Russia known as a major watershed area where several important rivers, including the Volga, originate.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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: Dzyarzhynskaya Hara
Triple: [Belarus, highestPoint, Dzyarzhynskaya Hara]
Generated description
Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dzyarzhynskaya Hara
Target entity description: Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
  • A. Vyshny Volochyok
    Vyshny Volochyok is a historic town in Tver Oblast, Russia, known as a former key transport hub on the waterway between Moscow and Saint Petersburg.
  • B. Ksudach
    Ksudach is a large stratovolcano in Russia’s Kamchatka Peninsula known for its caldera-forming eruptions and remote, rugged landscape.
  • C. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • D. Valdai Hills
    Valdai Hills is a hilly upland region in western Russia known as a major watershed area where several important rivers, including the Volga, originate.
  • E. Chelkash
    "Chelkash" is a short story by Russian writer Maksim Gorky that portrays a cynical dockside thief and explores themes of freedom, poverty, and moral ambiguity in late 19th-century Russia.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b483ac08190b3be152a7cf42011 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
NEDg Description generation batch_69a5096f59708190837cb90cc138765d completed March 2, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69a509e5f4248190bf0ac6545e200978 completed March 2, 2026, 3:54 a.m.
Created at: March 1, 2026, 7:33 p.m.