Triple

T13566438
Position Surface form Disambiguated ID Type / Status
Subject Zhytomyr Ivan Franko State University E324047 entity
Predicate locatedIn P40 FINISHED
Object Zhytomyr E62033 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: Zhytomyr | Statement: [Zhytomyr Ivan Franko State University, locatedIn, Zhytomyr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhytomyr
Context triple: [Zhytomyr Ivan Franko State University, locatedIn, Zhytomyr]
  • A. Zhytomyr chosen
    Zhytomyr is a historic city in northwestern Ukraine known as an important regional center and the birthplace of pioneering rocket engineer Sergei Korolev.
  • B. Khmelnytskyi
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and cultural center.
  • C. Vinnytsia
    Vinnytsia is a major city in central Ukraine known as an important administrative, economic, and cultural center on the Southern Bug River.
  • D. Nizhyn
    Nizhyn is a historic city in northern Ukraine known for its cultural heritage, educational institutions, and well-preserved architecture.
  • E. Chernihiv
    Chernihiv is a historic city in northern Ukraine known for its ancient churches, rich cultural heritage, and role as a regional administrative and memorial center.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00cecd48190a9a2caff3d424817 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6442d5c8190820d473073a3c4c6 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:48 p.m.