Triple

T8773952
Position Surface form Disambiguated ID Type / Status
Subject Roia E208530 entity
Predicate flowsThrough P225 FINISHED
Object Ventimiglia E34855 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: Ventimiglia | Statement: [Roia, flowsThrough, Ventimiglia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventimiglia
Context triple: [Roia, flowsThrough, Ventimiglia]
  • A. Ventimiglia chosen
    Ventimiglia is a coastal town in northwestern Italy’s Liguria region, known as a key gateway between Italy and France and for its historic center and Mediterranean beaches.
  • B. Savona
    Savona is a coastal city and port in the Liguria region of northwestern Italy, known historically as a strategic maritime center on the Italian Riviera.
  • C. Bordighera
    Bordighera is a coastal town on the Italian Riviera in Liguria, known for its mild climate, palm-lined seafront, and historic appeal as a 19th-century resort.
  • D. Lerici
    Lerici is a picturesque coastal town on Italy’s Ligurian Riviera, known for its historic castle, scenic harbor, and literary associations with poets like Percy Bysshe Shelley.
  • E. San Remigio
    San Remigio is a coastal municipality in the province of Cebu in the Philippines, known for its long stretch of white-sand beaches and dive spots.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2ef3288190988bd69e8a02e741 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88f4d35c81908de1fd713a5b2008 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:41 p.m.