Triple

T23066422
Position Surface form Disambiguated ID Type / Status
Subject Marebbe E575053 entity
Predicate borderedBy P224 FINISHED
Object Valdaora NE NERFINISHED

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: Valdaora | Statement: [Marebbe, borderedBy, Valdaora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdaora
Context triple: [Marebbe, borderedBy, Valdaora]
  • A. Valdaora chosen
    Valdaora is a picturesque alpine municipality in South Tyrol, northern Italy, known for its mountain scenery and proximity to the Dolomites.
  • B. Gargnano
    Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
  • C. Quargnento
    Quargnento is a small Italian town in the Piedmont region, known as the birthplace of the Futurist painter Carlo Carrà.
  • D. Pegognaga
    Pegognaga is a small Italian municipality in the Lombardy region, known for its agricultural landscape and traditional rural character.
  • E. Noviglio
    Noviglio is a small municipality in the Lombardy region of northern Italy, located near Milan and known for hosting the headquarters of the design company Kartell.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a3e39481909cad356ad0bb3ee6 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.