Triple

T1475812
Position Surface form Disambiguated ID Type / Status
Subject Pont du Mont-Blanc E30837 entity
Predicate hasViewOf P854 FINISHED
Object Jet d'Eau E2949 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: Jet d'Eau | Statement: [Pont du Mont-Blanc, hasViewOf, Jet d'Eau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jet d'Eau
Context triple: [Pont du Mont-Blanc, hasViewOf, Jet d'Eau]
  • A. Jet d'Eau chosen
    Jet d'Eau is a famous large water fountain on Lake Geneva and one of the most iconic symbols of the city of Geneva, Switzerland.
  • B. Lake of Biel
    Lake of Biel is a scenic lake in western Switzerland’s Seeland region, known for its vineyards, islands, and role in the Jura water correction system.
  • C. Vallée de Gavarnie
    Vallée de Gavarnie is a renowned glacial valley in the French Pyrenees, famous for its dramatic cirque, towering cliffs, and spectacular waterfalls.
  • D. Serre-Ponçon Dam
    Serre-Ponçon Dam is a large hydroelectric and irrigation dam in southeastern France that creates one of Western Europe’s biggest artificial lakes.
  • E. Bissone
    Bissone is a small Swiss municipality on the shores of Lake Lugano in the canton of Ticino, known for its picturesque lakeside setting and historic village center.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c602387c8190b97a20c8e05e3d16 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15ab9430819094deb90436983036 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:11 p.m.