Triple

T13768921
Position Surface form Disambiguated ID Type / Status
Subject Moshe Feinstein E330823 entity
Predicate residence P75 FINISHED
Object Lyuban
Lyuban is a town in Russia historically notable as the early home of prominent rabbi and halachic authority Moshe Feinstein.
 E1067443 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: Lyuban | Statement: [Moshe Feinstein, residence, Lyuban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lyuban
Context triple: [Moshe Feinstein, residence, Lyuban]
  • A. Lvovna
    Lvovna is a Russian patronymic derived from the male given name Lev, traditionally used as the middle name for daughters of men named Lev.
  • B. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • C. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • D. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • E. Medgidia
    Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
  • 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: Lyuban
Triple: [Moshe Feinstein, residence, Lyuban]
Generated description
Lyuban is a town in Russia historically notable as the early home of prominent rabbi and halachic authority Moshe Feinstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lyuban
Target entity description: Lyuban is a town in Russia historically notable as the early home of prominent rabbi and halachic authority Moshe Feinstein.
  • A. Lvovna
    Lvovna is a Russian patronymic derived from the male given name Lev, traditionally used as the middle name for daughters of men named Lev.
  • B. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • C. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • D. Lublinitz
    Lublinitz is the former German name for the town of Lubliniec, located in southern Poland’s Silesian region.
  • E. Medgidia
    Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fe88348190aa9803f7d6d67023 completed May 3, 2026, 10:06 p.m.
NEDg Description generation batch_69f7c807e70c8190b15a7d4608a17591 completed May 3, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:10 p.m.