Triple

T14144934
Position Surface form Disambiguated ID Type / Status
Subject Dora di Veny E350520 entity
Predicate name P16 FINISHED
Object Dora di Veny E144602 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: Dora di Veny | Statement: [Dora di Veny, name, Dora di Veny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora di Veny
Context triple: [Dora di Veny, name, Dora di Veny]
  • A. Dora di Veny chosen
    Dora di Veny is a mountain stream in Italy’s Aosta Valley that drains the southern side of Mont Blanc and contributes to the upper course of the Dora Baltea river.
  • B. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • C. La Vieille Dame
    La Vieille Dame is the nickname of La Soufrière, an active stratovolcano on the island of Basse-Terre in Guadeloupe and one of the most prominent volcanic peaks in the Lesser Antilles.
  • D. Belladère
    Belladère is a commune and border town in central Haiti, located near the frontier with the Dominican Republic.
  • E. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61214de081909a5186ff11336f97 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1b8508819096d4f5cf1456edca completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:53 a.m.