Triple

T8372667
Position Surface form Disambiguated ID Type / Status
Subject Slantsy E197495 entity
Predicate hasNameInLanguage P15 FINISHED
Object Сланцы
Сланцы — небольшой промышленный город в Ленинградской области России, известный прежде всего добычей и переработкой горючих сланцев.
 E730409 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: Сланцы | Statement: [Slantsy, hasNameInLanguage, Сланцы]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Сланцы
Context triple: [Slantsy, hasNameInLanguage, Сланцы]
  • A. Sill
    Sill is the surname of American singer-songwriter Judee Sill, known for her baroque folk compositions in the early 1970s.
  • B. Sill
    The Sill is a river in Tyrol, Austria, that flows through the Wipptal valley and the city of Innsbruck before joining the Inn.
  • C. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • D. Sochalien
    Sochalien is the French demonym for an inhabitant or native of the town of Sochaux in eastern France.
  • E. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • 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: Сланцы
Triple: [Slantsy, hasNameInLanguage, Сланцы]
Generated description
Сланцы — небольшой промышленный город в Ленинградской области России, известный прежде всего добычей и переработкой горючих сланцев.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Сланцы
Target entity description: Сланцы — небольшой промышленный город в Ленинградской области России, известный прежде всего добычей и переработкой горючих сланцев.
  • A. Sill
    Sill is the surname of American singer-songwriter Judee Sill, known for her baroque folk compositions in the early 1970s.
  • B. Sill
    The Sill is a river in Tyrol, Austria, that flows through the Wipptal valley and the city of Innsbruck before joining the Inn.
  • C. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • D. Sochalien
    Sochalien is the French demonym for an inhabitant or native of the town of Sochaux in eastern France.
  • E. Сквира
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a6944081909c4547688c9e70ae completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7dc7c6081909183716901fd2543 completed April 2, 2026, 3:51 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 6:01 p.m.