Triple

T15715872
Position Surface form Disambiguated ID Type / Status
Subject Mount Subasio E380956 entity
Predicate offersViewOf P3821 FINISHED
Object Valle Umbra E706906 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: Valle Umbra | Statement: [Mount Subasio, offersViewOf, Valle Umbra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valle Umbra
Context triple: [Mount Subasio, offersViewOf, Valle Umbra]
  • A. Valle Umbra chosen
    Valle Umbra is a fertile alluvial plain in central Umbria, Italy, known for its historic hill towns, olive groves, and vineyards.
  • B. Vallis Clausa
    Vallis Clausa is the Latin name meaning “closed valley,” historically used for the area around the Vaucluse spring in southeastern France.
  • C. Valle Sabbia
    Valle Sabbia is a valley area in the province of Brescia in Lombardy, northern Italy, known for its mountainous landscapes and proximity to Lake Garda.
  • D. Valle Peligna
    Valle Peligna is a mountainous basin in the Abruzzo region of central Italy, known for its historic towns, agriculture, and surrounding Apennine landscapes.
  • E. Velabrum
    Velabrum was a low-lying, marshy district of ancient Rome situated between the Forum Romanum and the Tiber, known as an important commercial and traffic hub.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7583609c8190a80421fce649900f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.