Triple

T3434720
Position Surface form Disambiguated ID Type / Status
Subject Danylo of Halych E72421 entity
Predicate capital P234 FINISHED
Object Kholm E384627 NE FINISHED

How this triple was built (2 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, capital, Kholm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kholm
Context triple: [Danylo of Halych, capital, Kholm]
  • A. Kholm chosen
    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.
  • B. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • C. 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.
  • D. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b4e4d1c7188190b0f98fdc51e6684a completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:16 p.m.