Triple

T16210021
Position Surface form Disambiguated ID Type / Status
Subject Province of Udine E393436 entity
Predicate river P165 FINISHED
Object Natisone E988477 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: Natisone | Statement: [Province of Udine, river, Natisone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natisone
Context triple: [Province of Udine, river, Natisone]
  • A. Natisone chosen
    Natisone is a river in northeastern Italy and western Slovenia that flows through the Natisone Valley before joining the Isonzo River.
  • B. Piave River
    The Piave River is a waterway in northeastern Italy that became historically significant as the site of major battles on the Italian Front during World War I.
  • C. Adige
    The Adige is one of Italy’s longest rivers, flowing from the Alpine region of South Tyrol through cities like Bolzano and Verona before emptying into the Adriatic Sea.
  • D. Canale d’Agordo
    Canale d’Agordo is a small town in the Veneto region of northern Italy, best known as the birthplace of Pope John Paul I, Albino Luciani.
  • E. Brenta
    Brenta is a station on Milan’s Metro Line 3 serving the city’s public transportation network.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22711e4fc8190bf7a9f0c59b7889f completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007932f088190b6c20913cfb932f4 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.