Triple

T2507881
Position Surface form Disambiguated ID Type / Status
Subject Province of Forlì-Cesena E52626 entity
Predicate contains P35 FINISHED
Object Galeata E52632 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: Galeata | Statement: [Province of Forlì-Cesena, contains, Galeata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galeata
Context triple: [Province of Forlì-Cesena, contains, Galeata]
  • A. Galeata chosen
    Galeata is a small historic town in Italy’s Emilia-Romagna region, known for its Roman and medieval heritage in the Apennine foothills.
  • B. Navigo
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • C. Zułów
    Zułów is a village in present-day Lithuania best known as the birthplace of Polish statesman and military leader Józef Piłsudski.
  • D. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • E. Grande Nef
    Grande Nef is the main, large-scale exhibition hall of the Centre Pompidou-Metz, designed to host major contemporary art and cultural installations.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1faa33148190a3ad6ece7432b81f completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.