Triple

T20814209
Position Surface form Disambiguated ID Type / Status
Subject Mont Gros E512391 entity
Predicate hasNameInLanguage P15 FINISHED
Object Mont Gros@en NE NERFINISHED

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: Mont Gros@en | Statement: [Mont Gros, hasNameInLanguage, Mont Gros@en]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont Gros@en
Context triple: [Mont Gros, hasNameInLanguage, Mont Gros@en]
  • A. Mont Gros chosen
    Mont Gros is a hill overlooking Nice on the French Riviera, known for hosting the historic Observatoire de Nice astronomical observatory.
  • B. LeGros
    LeGros is a surname most notably associated with American actor James LeGros, known for his work in independent films and television.
  • C. Grand Trou
    Grand Trou is a neighborhood in Lyon, France, known as a residential district within the city's 8th arrondissement.
  • D. Grand Belfort
    Grand Belfort is an intercommunal administrative structure in northeastern France that groups together Belfort and surrounding communes to coordinate local governance and services.
  • E. Grand Pic
    Grand Pic is the higher of the two main summits of the iconic Pyrenean mountain Pic du Midi d’Ossau, known for its striking, steep profile.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d4e43c8190aecce82a3f7e2de0 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:41 p.m.