Triple

T3110489
Position Surface form Disambiguated ID Type / Status
Subject Vosges Mountains E64937 entity
Predicate highestPoint P210 FINISHED
Object Grand Ballon E246531 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: Grand Ballon | Statement: [Vosges Mountains, highestPoint, Grand Ballon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Ballon
Context triple: [Vosges Mountains, highestPoint, Grand Ballon]
  • A. Grand Ballon chosen
    Grand Ballon is the highest peak in the Vosges Mountains of northeastern France, known for its panoramic views and popular hiking and cycling routes.
  • B. Mont Gerbier de Jonc
    Mont Gerbier de Jonc is a distinctive volcanic mountain in the Massif Central of France, renowned as the symbolic birthplace of the Loire River.
  • C. Mont Pèlerin
    Mont Pèlerin is a mountain in the canton of Vaud, Switzerland, overlooking Lake Geneva and known for its scenic views and vineyards.
  • D. Longjumeau
    Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
  • E. Monti Ossenfort
    Monti Ossenfort is an American football executive who serves as the general manager of the NFL's Arizona Cardinals, overseeing the team's roster construction and football operations.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada437c5e08190af22f6fa11cf9252 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20394a8cc8190b114760079f8b0f6 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.