Triple

T10928561
Position Surface form Disambiguated ID Type / Status
Subject Pripyat River E258137 entity
Predicate passesThroughCity P416 FINISHED
Object Luninets
Luninets is a town in southern Belarus known as a regional railway hub and administrative center in the Brest Region.
E893600 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: Luninets | Statement: [Pripyat River, passesThroughCity, Luninets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luninets
Context triple: [Pripyat River, passesThroughCity, Luninets]
  • A. Lugnut
    Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
  • B. Lunt
    Lunt is a surname of English origin borne by various notable individuals, including American philanthropist Orrington Lunt.
  • C. Burin
    Burin is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • D. Burin
    Burin is a small coastal town on the Burin Peninsula in Newfoundland and Labrador, Canada, historically known for its fishing industry and maritime heritage.
  • E. Essentuki
    Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
  • 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: Luninets
Triple: [Pripyat River, passesThroughCity, Luninets]
Generated description
Luninets is a town in southern Belarus known as a regional railway hub and administrative center in the Brest Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luninets
Target entity description: Luninets is a town in southern Belarus known as a regional railway hub and administrative center in the Brest Region.
  • A. Lugnut
    Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
  • B. Lunt
    Lunt is a surname of English origin borne by various notable individuals, including American philanthropist Orrington Lunt.
  • C. Burin
    Burin is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • D. Burin
    Burin is a small coastal town on the Burin Peninsula in Newfoundland and Labrador, Canada, historically known for its fishing industry and maritime heritage.
  • E. Essentuki
    Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709da23c819096f4bba1cd4ff5cb completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e217475344819088b44b6efb2df1c8 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8aea2881908ac8f5225b8739c5 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eb18a1881908ded331db89063ed completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.