Triple

T3141450
Position Surface form Disambiguated ID Type / Status
Subject canton of Mitry-Mory E65654 entity
Predicate containsCommune P15149 FINISHED
Object Mitry-Mory E66407 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: Mitry-Mory | Statement: [canton of Mitry-Mory, containsCommune, Mitry-Mory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitry-Mory
Context triple: [canton of Mitry-Mory, containsCommune, Mitry-Mory]
  • A. Mitry-Mory chosen
    Mitry-Mory is a commune in the northeastern suburbs of Paris, France, known for its proximity to Charles de Gaulle Airport and its role as a residential and logistical hub in the Île-de-France region.
  • B. Villemoustaussou
    Villemoustaussou is a commune in southern France’s Aude department, known as the birthplace of Balthasar Gérard, the assassin of William the Silent.
  • C. Moulins
    Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • D. 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.
  • E. Sorpesee
    Sorpesee is a popular artificial lake in the Sauerland region of Germany, known for recreation, water sports, and scenic surroundings.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada57895dc8190bd3d4ef9391973dc completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235b6685c8190b88501d7b2ad0d25 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.