Triple

T43984
Position Surface form Disambiguated ID Type / Status
Subject Italy E863 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object ITA E863 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: ITA | Statement: [Italy, ISO3166-1Alpha3, ITA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ITA
Context triple: [Italy, ISO3166-1Alpha3, ITA]
  • A. Italy chosen
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • B. Lazio
    Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
  • C. Lombardy
    Lombardy is a populous and economically powerful region in northern Italy, known for its capital Milan and its role as a major European hub for finance, fashion, and industry.
  • D. Northern Italy
    Northern Italy is a geographically and economically significant region of Italy, known for its Alpine landscapes, industrial cities, and historical role as a major theater of European conflicts.
  • E. Sicily
    Sicily is the largest island in the Mediterranean Sea, known for its rich ancient history, distinctive culture, and strategic location at the crossroads of Europe and North Africa.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae36824819080e8336a3c9f9bf8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d72dfb1c81908e127aa79bee1bdc completed Feb. 28, 2026, 11:53 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.