Triple

T2359390
Position Surface form Disambiguated ID Type / Status
Subject Cernobbio E47235 entity
Predicate sharesBorderWith P224 FINISHED
Object Como E81378 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: Como | Statement: [Cernobbio, sharesBorderWith, Como]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Como
Context triple: [Cernobbio, sharesBorderWith, Como]
  • A. Como chosen
    Como is a historic city in northern Italy near the Swiss border, known for its scenic setting at the southern tip of Lake Como and its medieval architecture, including the Como Cathedral.
  • B. American River
    The American River is a major waterway in Northern California known for its role in the Gold Rush, outdoor recreation, and as a key tributary of the Sacramento River.
  • C. Amer River
    The Amer River is a waterway in the southern Netherlands that flows through the Biesbosch wetlands and connects to major Dutch river and canal systems.
  • D. Columbia
    Columbia is a major American record label known for signing and releasing music by many influential artists across genres.
  • E. Columbia
    Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc720b9048190a5d3b19e5e1f373a completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea88cf3308190bdb5aac38aded823 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:55 p.m.