Triple

T75387
Position Surface form Disambiguated ID Type / Status
Subject Roma E1507 entity
Predicate hasExonym P4705 FINISHED
Object Gitano E6221 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: Gitano | Statement: [Roma, hasExonym, Gitano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gitano
Context triple: [Roma, hasExonym, Gitano]
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • C. Gypsies chosen
    Gypsies is a widely used but often considered pejorative exonym historically applied to the Romani people, a traditionally itinerant ethnic group with origins in the Indian subcontinent and a long presence across Europe and beyond.
  • D. Gurians
    Gurians are a regional Georgian ethnic group from the historical province of Guria in western Georgia, known for their distinct dialect, folklore, and cultural traditions.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2567c90308190a9b989c586f7e559 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e2a91c81908ec21814794d70a6 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.