Triple

T5575006
Position Surface form Disambiguated ID Type / Status
Subject Yisrael Salanter E146297 entity
Predicate birthPlace P1 FINISHED
Object Zhagory
Zhagory is a town in present-day Lithuania historically known as the birthplace of the influential 19th-century Jewish ethicist and founder of the Musar movement, Rabbi Yisrael Salanter.
 E533609 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: Zhagory | Statement: [Yisrael Salanter, birthPlace, Zhagory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhagory
Context triple: [Yisrael Salanter, birthPlace, Zhagory]
  • A. Kutakhov
    Kutakhov is a Russian surname most notably associated with Soviet Air Force Marshal Pavel Kutakhov.
  • B. Luchistoye
    Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
  • C. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • D. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • E. Vytegra
    Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
  • 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: Zhagory
Triple: [Yisrael Salanter, birthPlace, Zhagory]
Generated description
Zhagory is a town in present-day Lithuania historically known as the birthplace of the influential 19th-century Jewish ethicist and founder of the Musar movement, Rabbi Yisrael Salanter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhagory
Target entity description: Zhagory is a town in present-day Lithuania historically known as the birthplace of the influential 19th-century Jewish ethicist and founder of the Musar movement, Rabbi Yisrael Salanter.
  • A. Kutakhov
    Kutakhov is a Russian surname most notably associated with Soviet Air Force Marshal Pavel Kutakhov.
  • B. Luchistoye
    Luchistoye is a village in Crimea situated at the foot of the Demerdzhi mountain massif, known for its scenic landscapes and proximity to popular hiking and nature spots.
  • C. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • D. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • E. Vytegra
    Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02067e8d8819090a006cb266da5fe completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02852a6fc8190a543508ab3237f95 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0430e51fc819084706f52a815350a completed March 22, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_69c046e54a20819080eef5179f206314 completed March 22, 2026, 7:45 p.m.
Created at: March 22, 2026, 3:37 p.m.