Triple

T2504741
Position Surface form Disambiguated ID Type / Status
Subject Province of Como E52551 entity
Predicate capital P234 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: [Province of Como, capital, Como]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Como
Context triple: [Province of Como, capital, 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 was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
  • E. Columbia
    Columbia was the command module spacecraft of NASA's historic Apollo 11 mission, which carried astronauts to the Moon and safely returned them to Earth in 1969.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cd2db0819087d21ec49ffd9585 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa57aa4819096578a5538973ec4 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.