Triple

T15865525
Position Surface form Disambiguated ID Type / Status
Subject Alps E384701 entity
Predicate highestPoint P210 FINISHED
Object Mont Blanc E2386 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: Mont Blanc | Statement: [Alps, highestPoint, Mont Blanc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mont Blanc
Context triple: [Alps, highestPoint, Mont Blanc]
  • A. Mont Blanc chosen
    Mont Blanc is the tallest mountain in the Alps and Western Europe, straddling the border between France and Italy and renowned for mountaineering and skiing.
  • B. Montenvers
    Montenvers is a mountain station and viewpoint in the French Alps above Chamonix, best known as the access point to the Mer de Glace glacier.
  • C. Mont Blanc de Courmayeur
    Mont Blanc de Courmayeur is a prominent summit on the Italian side of the Mont Blanc massif in the Alps, known as one of the main high points of Western Europe.
  • D. Mont Blanc du Tacul
    Mont Blanc du Tacul is a prominent 4,248-meter peak in the Mont Blanc massif of the French Alps, popular with mountaineers as part of the classic route to Mont Blanc.
  • E. Cime du Gélas
    Cime du Gélas is a prominent alpine peak in the Maritime Alps on the French-Italian border, known for its rugged terrain and glaciated summit.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555f75e88190bfd0f551d4ccf4cc completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa945d9808190a65f5182db341393 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.