Triple

T3434698
Position Surface form Disambiguated ID Type / Status
Subject Danylo of Halych E72421 entity
Predicate placeOfDeath P21 FINISHED
Object Kholm
Kholm is a historic town in eastern Poland, known today as Chełm, with medieval roots and significance in the history of the Kingdom of Galicia–Volhynia.
E384627 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: Kholm | Statement: [Danylo of Halych, placeOfDeath, Kholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kholm
Context triple: [Danylo of Halych, placeOfDeath, Kholm]
  • A. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • B. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • C. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • D. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • E. Tikhvin
    Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial 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: Kholm
Triple: [Danylo of Halych, placeOfDeath, Kholm]
Generated description
Kholm is a historic town in eastern Poland, known today as Chełm, with medieval roots and significance in the history of the Kingdom of Galicia–Volhynia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kholm
Target entity description: Kholm is a historic town in eastern Poland, known today as Chełm, with medieval roots and significance in the history of the Kingdom of Galicia–Volhynia.
  • A. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • B. Pereiaslavl
    Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
  • C. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • D. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • E. Tikhvin
    Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c3300881909f5c3544f8923b41 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daed138081908f2e5b0a3e6b9672 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4db9266f881908e31c7646b8c861c completed March 14, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69b4df53bb648190af6507919fd4d59d completed March 14, 2026, 4:08 a.m.
Created at: March 8, 2026, 3:16 p.m.