Triple

T15161810
Position Surface form Disambiguated ID Type / Status
Subject Samuel Skavronsky E362235 entity
Predicate residence P75 FINISHED
Object Jakobstadt
Jakobstadt is a historic town in present-day Latvia, known for its multicultural past and role as a regional trading center.
 E1139791 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: Jakobstadt | Statement: [Samuel Skavronsky, residence, Jakobstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jakobstadt
Context triple: [Samuel Skavronsky, residence, Jakobstadt]
  • A. Lyuban
    Lyuban is a town in Russia historically notable as the early home of prominent rabbi and halachic authority Moshe Feinstein.
  • B. Karlovo
    Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
  • C. Lütow
    Lütow is a small village on the island of Usedom in northeastern Germany, known for its tranquil setting near the Achterwasser lagoon and natural coastal landscapes.
  • D. Glazov
    Glazov is a city in the Udmurt Republic of Russia, known as an industrial and cultural center in the region.
  • E. Karlovasi
    Karlovasi is a coastal town on the Greek island of Samos, known for its neoclassical architecture, port, and role as a local commercial and educational center.
  • 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: Jakobstadt
Triple: [Samuel Skavronsky, residence, Jakobstadt]
Generated description
Jakobstadt is a historic town in present-day Latvia, known for its multicultural past and role as a regional trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jakobstadt
Target entity description: Jakobstadt is a historic town in present-day Latvia, known for its multicultural past and role as a regional trading center.
  • A. Lyuban
    Lyuban is a town in Russia historically notable as the early home of prominent rabbi and halachic authority Moshe Feinstein.
  • B. Karlovo
    Karlovo is a historic town in central Bulgaria, known as the birthplace of national hero Vasil Levski and as a gateway to the Balkan Mountains.
  • C. Lütow
    Lütow is a small village on the island of Usedom in northeastern Germany, known for its tranquil setting near the Achterwasser lagoon and natural coastal landscapes.
  • D. Glazov
    Glazov is a city in the Udmurt Republic of Russia, known as an industrial and cultural center in the region.
  • E. Karlovasi
    Karlovasi is a coastal town on the Greek island of Samos, known for its neoclassical architecture, port, and role as a local commercial and educational center.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060f2efc8190aa0eb5fb8d4ce085 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffc94e48190844e226c245a9ce3 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec1b27c5c8190b3b81cd10b11e973 completed May 9, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69fec24105a48190a698de2b380f4dbc completed May 9, 2026, 5:12 a.m.
Created at: April 10, 2026, 3:08 a.m.