Triple

T11122520
Position Surface form Disambiguated ID Type / Status
Subject Yitzhak Shamir E263051 entity
Predicate wasBornIn P1 FINISHED
Object Ruzhany E263052 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: Ruzhany | Statement: [Yitzhak Shamir, wasBornIn, Ruzhany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruzhany
Context triple: [Yitzhak Shamir, wasBornIn, Ruzhany]
  • A. Ruzhany chosen
    Ruzhany is a historic town in present-day Belarus, formerly part of Poland, known for its Jewish heritage and as the birthplace of Israeli Prime Minister Yitzhak Shamir.
  • B. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Dubrovitsy
    Dubrovitsy is a historic rural locality in Moscow Oblast, Russia, known for its ornate baroque Church of the Theotokos of the Sign and its scenic setting near the city of Podolsk.
  • D. Kolodiazhne
    Kolodiazhne is a village in northwestern Ukraine known for being closely associated with the life and creative work of the renowned poet Lesya Ukrainka.
  • E. Bolkhov
    Bolkhov is a historic town in western Russia known for its old churches and traditional architecture within Oryol Oblast.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79afa0ab88190ab6d61df8cf485ec completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462f5fe708190835e427b6bf99f13 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.