Triple

T10035007
Position Surface form Disambiguated ID Type / Status
Subject Valtellina E204943 entity
Predicate containsTown P847 FINISHED
Object Tirano E415797 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: Tirano | Statement: [Valtellina, containsTown, Tirano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirano
Context triple: [Valtellina, containsTown, Tirano]
  • A. Tirano chosen
    Tirano is a town in the Valtellina valley of northern Italy, known as a gateway to the Alps and the starting point of the scenic Bernina Express railway into Switzerland.
  • B. Salò
    Salò is a town on the western shore of Lake Garda in northern Italy, historically known as the de facto seat of government of Mussolini’s Italian Social Republic during World War II.
  • C. Togliatti
    Togliatti is a major industrial city in Russia best known as the home of the AvtoVAZ automobile plant that produces Lada cars.
  • D. Lugo
    Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
  • E. Lugo
    Lugo is a historic town and municipality in the Emilia-Romagna region of northern Italy, known for its medieval center and the imposing Rocca Estense fortress.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28250be608190b7e2b809672cdd78 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.