Triple

T4365022
Position Surface form Disambiguated ID Type / Status
Subject Corse-du-Sud E98749 entity
Predicate contains P35 FINISHED
Object Piana E391961 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: Piana | Statement: [Corse-du-Sud, contains, Piana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piana
Context triple: [Corse-du-Sud, contains, Piana]
  • A. Piana chosen
    Piana is a picturesque coastal village in western Corsica, France, renowned for its dramatic red granite cliffs and proximity to the UNESCO-listed Gulf of Porto and Calanche de Piana.
  • B. Guasca
    Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
  • C. Paravani
    Paravani is a mythological peacock that serves as the divine mount (vahana) of the Hindu war god Kartikeya.
  • D. Sparanero
    Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
  • E. Papine
    Papine is a community in the Parish of St. Andrew, Jamaica, known for its proximity to the University of the West Indies and its role as a busy commercial and transportation hub.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351fea3e88190807b99868982c491 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbc925d881909fac944bc7ce5407 completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.