Triple

T16407390
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Porto E398468 entity
Predicate locatedNear P294 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: [Gulf of Porto, locatedNear, Piana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piana
Context triple: [Gulf of Porto, locatedNear, 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. Pianiga
    Pianiga is a municipality in the Veneto region of northeastern Italy, situated on the mainland near Venice.
  • C. Papanduva
    Papanduva is a municipality in the state of Santa Catarina in southern Brazil, known for its rural landscape and small-town character.
  • D. Pombia
    Pombia is a small municipality in Italy’s Piedmont region, historically notable as the place where Liudolf, Duke of Swabia, died.
  • E. Bardineto
    Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d36b808190b6b8c412ae0d2faa completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c64a05c8190a59e800ce2318052 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.