Triple

T11927817
Position Surface form Disambiguated ID Type / Status
Subject Forlimpopoli E283828 entity
Predicate demonym P191 FINISHED
Object Forlimpopolesi E283828 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: Forlimpopolesi | Statement: [Forlimpopoli, demonym, Forlimpopolesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forlimpopolesi
Context triple: [Forlimpopoli, demonym, Forlimpopolesi]
  • A. Forlimpopoli chosen
    Forlimpopoli is a historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and as the birthplace of the famed gastronome Pellegrino Artusi.
  • B. Ladispoli
    Ladispoli is a coastal town in the Lazio region of central Italy, known for its beaches along the Tyrrhenian Sea and proximity to Rome.
  • C. Chiampo
    Chiampo is a town and comune in the Veneto region of northern Italy, known historically for its marble and leather industries.
  • D. Pisae
    Pisae is the ancient Roman name for the city of Pisa in Tuscany, Italy, historically significant as a coastal settlement and later a prominent maritime republic.
  • E. Oriolo
    Oriolo is a small historic town in the Calabria region of southern Italy, known for its medieval castle and hilltop setting overlooking the surrounding countryside.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f440611e648190b2c47b43f02d2e4b completed May 1, 2026, 5:55 a.m.
Created at: April 8, 2026, 9:45 p.m.