Triple

T1698957
Position Surface form Disambiguated ID Type / Status
Subject Western Ukraine E36723 entity
Predicate hasMinority P4710 FINISHED
Object Roma E1507 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: Roma | Statement: [Western Ukraine, hasMinority, Roma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roma
Context triple: [Western Ukraine, hasMinority, Roma]
  • A. Roma
    Roma is a critically acclaimed 2018 Mexican drama film directed by Alfonso Cuarón, celebrated for its intimate portrayal of a domestic worker in 1970s Mexico City and its innovative black-and-white cinematography.
  • B. Roma chosen
    The Roma are a traditionally nomadic ethnic group originating from the Indian subcontinent and living mainly in Europe, long subjected to persecution and discrimination, including mass murder during the Holocaust.
  • C. Rome
    Rome is the historic capital of Italy and a major cultural and religious center of the world, renowned for its ancient Roman heritage, art, and architecture.
  • D. Rome
    Rome is a city in northwestern Georgia, United States, known as a regional center for education, healthcare, and manufacturing in the Appalachian foothills.
  • E. Ostia
    Ostia was the principal harbor city of ancient Rome, serving as a major commercial and military port at the mouth of the Tiber River.
  • 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_69ad8ac9ed2c81909fe3fe40515526de completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.