Triple

T16478748
Position Surface form Disambiguated ID Type / Status
Subject Blessagno E400258 entity
Predicate province P604 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: [Blessagno, province, Como]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Como
Context triple: [Blessagno, province, 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. Como
    Como is an unincorporated community located in Whiteside County, Illinois, in the United States.
  • C. Como
    Como is a suburb in southern Sydney, New South Wales, Australia, known for its riverside setting along the Georges River and leafy residential character.
  • D. Como
    Como is a small rural locality in Queensland, Australia, known for its agricultural landscape and proximity to the town of Kin Kin in the Sunshine Coast hinterland.
  • E. 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.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01230881908b2147a25f78b7f4 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f457b8c8190b278697ef43301cb completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:13 a.m.