Triple

T18157108
Position Surface form Disambiguated ID Type / Status
Subject ASM E434659 entity
Predicate nickname P55 FINISHED
Object Le Rocher 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: Le Rocher | Statement: [ASM, nickname, Le Rocher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Rocher
Context triple: [ASM, nickname, Le Rocher]
  • A. Le Rocher chosen
    Le Rocher is the rocky promontory that forms Monaco’s historic old town, home to landmarks such as the Prince’s Palace and the Monaco Cathedral.
  • B. Aiguilles Rouges
    Aiguilles Rouges is a rugged mountain range in the French Alps known for its striking red-tinged rock peaks, hiking trails, and panoramic views of Mont Blanc.
  • C. La Montagne
    La Montagne is a monumental early 20th-century sculpture by French artist Aristide Maillol, celebrated for its serene, volumetric depiction of the female form.
  • D. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • E. Moncontour
    Moncontour is a historic hilltop town in Brittany, northwestern France, renowned for its well-preserved medieval architecture and fortified walls.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4debf43348190a22f23a4bbfab433 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.