Triple

T22592303
Position Surface form Disambiguated ID Type / Status
Subject Comune di Sanremo E564980 entity
Predicate hasPart P35 FINISHED
Object Port of Sanremo 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: Port of Sanremo | Statement: [Comune di Sanremo, hasPart, Port of Sanremo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Sanremo
Context triple: [Comune di Sanremo, hasPart, Port of Sanremo]
  • A. Sanremo chosen
    Sanremo is a coastal city on Italy’s Ligurian Riviera, known as a historic resort destination and host of the annual Sanremo Music Festival.
  • B. San Remo
    San Remo is a coastal town in Victoria, Australia, known as the mainland gateway to Phillip Island and for its fishing and tourism.
  • C. Poggio di Sanremo
    Poggio di Sanremo is a short but decisive late-race climb near the finish of the Milan–San Remo cycling classic, often shaping the outcome of the race.
  • D. 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.
  • E. Port of Savona
    The Port of Savona is a major commercial and passenger seaport in northwestern Italy, serving as an important hub for Mediterranean trade and cruise traffic.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16162c2cc8190a506776ac52356d7 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.