Triple

T6037081
Position Surface form Disambiguated ID Type / Status
Subject Corsican Mountains E134448 entity
Predicate contains P35 FINISHED
Object Aiguilles de Bavella E432549 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: Aiguilles de Bavella | Statement: [Corsican Mountains, contains, Aiguilles de Bavella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aiguilles de Bavella
Context triple: [Corsican Mountains, contains, Aiguilles de Bavella]
  • A. Aiguilles de Bavella chosen
    Aiguilles de Bavella is a dramatic granite mountain massif in southern Corsica, famed for its jagged peaks, hiking routes, and scenic alpine landscapes.
  • B. La Venoge
    La Venoge is a river in the canton of Vaud in western Switzerland, known for flowing into Lake Geneva and inspiring a famous Swiss poem of the same name.
  • C. Puvis de Chavannes
    Puvis de Chavannes was a 19th-century French painter renowned for his large-scale, symbolist murals that strongly influenced modern art.
  • D. La Montagne
    La Montagne is a residential neighborhood located in the municipality of Chêne-Bougeries near Geneva, Switzerland.
  • E. Mauguio
    Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cb06508190a90beb4d9d083835 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139031248190b796a655bf07a4bc completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.