Triple

T18360388
Position Surface form Disambiguated ID Type / Status
Subject Gargnano E439897 entity
Predicate hasPort P35 FINISHED
Object Gargnano marina 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: Gargnano marina | Statement: [Gargnano, hasPort, Gargnano marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gargnano marina
Context triple: [Gargnano, hasPort, Gargnano marina]
  • A. Albissola Marina
    Albissola Marina is a coastal town in the Liguria region of northwestern Italy, known for its beaches and long tradition of ceramic art.
  • B. Lido di Savio
    Lido di Savio is a seaside resort town on Italy’s Adriatic coast, known for its beaches and tourist facilities near Ravenna.
  • C. Cagnano
    Cagnano is a small commune on the island of Corsica in southeastern France, known for its coastal scenery and traditional Mediterranean village character.
  • D. Savignano Mare
    Savignano Mare is a seaside resort locality on the Adriatic coast of Italy, forming the coastal area of the municipality of Savignano sul Rubicone in Emilia-Romagna.
  • E. Gargnano chosen
    Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516db045c8190b20c209225a53b9a completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.