Triple

T189794
Position Surface form Disambiguated ID Type / Status
Subject Rome E3694 entity
Predicate locatedIn P40 FINISHED
Object Lazio E12614 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: Lazio | Statement: [Rome, locatedIn, Lazio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazio
Context triple: [Rome, locatedIn, Lazio]
  • A. Lazio chosen
    Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
  • B. Bologna
    Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
  • C. Emilian-Romagnol
    Emilian-Romagnol is a Romance language variety spoken primarily in Italy’s Emilia-Romagna region, known for its distinct phonology and vocabulary compared to standard Italian.
  • D. Pescara
    Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
  • E. Roma
    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.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594c385481909e1e088e45c460a4 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b8959dc8190b6ec8ef2583505a1 completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.