Triple

T19386041
Position Surface form Disambiguated ID Type / Status
Subject Province of Vibo Valentia E484935 entity
Predicate contains P35 FINISHED
Object Parghelia NE NERFINISHED

How this triple was built (3 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: Parghelia | Statement: [Province of Vibo Valentia, contains, Parghelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parghelia
Context triple: [Province of Vibo Valentia, contains, Parghelia]
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. Ishwarpur
    Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • C. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • D. Dadri
    Dadri is a town in the Indian state of Uttar Pradesh known for its industrial development and proximity to the National Capital Region.
  • E. Sheohar
    Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parghelia
Target entity description: Parghelia is a coastal town in the Calabria region of southern Italy, known for its beaches and proximity to the popular resort of Tropea.
  • A. Daryapur
    Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
  • B. Ishwarpur
    Ishwarpur is a municipality-level city located in Nepal’s Madhesh Province.
  • C. Sikandarpur
    Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
  • D. Dadri
    Dadri is a town in the Indian state of Uttar Pradesh known for its industrial development and proximity to the National Capital Region.
  • E. Sheohar
    Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
  • F. None of above. chosen

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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:35 p.m.