Triple

T14366497
Position Surface form Disambiguated ID Type / Status
Subject Umbrian-Marchigian Apennines E356246 entity
Predicate containsTown P847 FINISHED
Object Visso E1027858 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: Visso | Statement: [Umbrian-Marchigian Apennines, containsTown, Visso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visso
Context triple: [Umbrian-Marchigian Apennines, containsTown, Visso]
  • A. Visso chosen
    Visso is a historic village in the Umbria region of central Italy, known for its medieval architecture and location within the scenic Valnerina valley.
  • B. Noki
    Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
  • C. Nokia
    Nokia is a Finnish multinational telecommunications and consumer electronics company best known for its historic leadership in mobile phones and its current focus on network infrastructure and 5G technologies.
  • D. Vertu
    Vertu is a jazz fusion album by bassist Stanley Clarke, known for its virtuosic performances and blend of contemporary and traditional jazz elements.
  • E. Sharp Corporation
    Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4fa3788190b7fa5c34620c3ada completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.