Triple

T1698935
Position Surface form Disambiguated ID Type / Status
Subject Western Ukraine E36723 entity
Predicate borders P224 FINISHED
Object Romania E8777 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: Romania | Statement: [Western Ukraine, borders, Romania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romania
Context triple: [Western Ukraine, borders, Romania]
  • A. Romania chosen
    Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
  • B. Moldova
    Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
  • C. Wallachia
    Wallachia is a historical region in southern Romania that played a central role in medieval Eastern European politics and is famously associated with figures like Vlad the Impaler.
  • D. Hungary
    Hungary is a landlocked Central European country known for its rich history, distinct language (Hungarian), and capital city Budapest, famed for its thermal baths and architecture.
  • E. Bulgaria
    Bulgaria is a Southeast European country on the Balkan Peninsula, known for its rich historical heritage, diverse landscapes, and role as a member of the European Union and NATO.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62d3c57c81908887844e885062e3 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad798dbf248190b4f8a8a8a6ee75cf completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:30 p.m.