Triple

T22604365
Position Surface form Disambiguated ID Type / Status
Subject Comune di Senigallia E574915 entity
Predicate subdivisionOf P258 FINISHED
Object Region of Marche NE NERFINISHED

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: Region of Marche | Statement: [Comune di Senigallia, subdivisionOf, Region of Marche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Region of Marche
Context triple: [Comune di Senigallia, subdivisionOf, Region of Marche]
  • A. La Marche
    La Marche is a historic province in central France known for its rural landscapes and role as a frontier region between major medieval territories.
  • B. Emilia-Romagna
    Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
  • C. Marche region chosen
    The Marche region is a central-eastern Italian region on the Adriatic coast, known for its historic hill towns, Renaissance art, and role in early 20th-century political events such as the March on Rome.
  • D. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • E. Abruzzo
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626fad6881909895cc8c0af62f0d completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:51 p.m.