Triple

T18816832
Position Surface form Disambiguated ID Type / Status
Subject Maranello E460157 entity
Predicate locatedNear P294 FINISHED
Object Formigine 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: Formigine | Statement: [Maranello, locatedNear, Formigine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formigine
Context triple: [Maranello, locatedNear, Formigine]
  • A. Formigine chosen
    Formigine is a municipality in Italy’s Emilia-Romagna region, known for its medieval castle and historic town center near Modena.
  • B. Formigais
    Formigais is a civil parish located within the municipality of Ourém in central Portugal.
  • C. Formiae
    Formiae was an ancient coastal town in Latium, Italy, known as a Roman resort and historically noted as the place where Cicero was killed.
  • D. Formicini
    Formicini is a tribe of ants in the subfamily Formicinae that includes genera such as Cataglyphis, known for their diverse behaviors and ecological roles.
  • E. Proformica
    Proformica is a genus of ants within the subfamily Formicinae, known for inhabiting arid and semi-arid regions in parts of Europe and Asia.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b620248190afa21a6ce61e2cff completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.