Triple

T34018792
Position Surface form Disambiguated ID Type / Status
Subject Chocim E872321 entity
Predicate historicalNameInUkrainian P201950 FINISHED
Object Khotyn NE NERFINISHED

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: Khotyn | Statement: [Chocim, historicalNameInUkrainian, Khotyn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalNameInUkrainian
Context triple: [Chocim, historicalNameInUkrainian, Khotyn]
  • A. historicalNameInSlovak
    Indicates that an entity is known or referred to by a particular historical name in the Slovak language.
  • B. historicalNameGivenBy
    Indicates that one entity is the name historically assigned to another entity by a specific source, culture, or period.
  • C. historicalNameInEnglish
    Indicates that an entity is associated with a historical English-language name by which it was known in the past.
  • D. historicalNameUntil
    Indicates that an entity bore a particular historical name up to a specified point in time, after which that name was no longer used.
  • E. historicalNameType
    Indicates that the relationship specifies the type or category of a historical name associated with an entity.
  • F. None of above. chosen

Provenance (4 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_69f349a19ad88190ab586f010c804a8f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a00383e868c819098fd17e25fcbdb04 completed May 10, 2026, 7:48 a.m.
PD Predicate disambiguation batch_6a0037cc59688190b7b9da939a413db3 completed May 10, 2026, 7:46 a.m.
PDg Predicate description generation batch_6a00383d83c08190af7bc00f17affd97 completed May 10, 2026, 7:48 a.m.
Created at: May 1, 2026, 1:51 a.m.