Triple

T3141483
Position Surface form Disambiguated ID Type / Status
Subject canton of Mitry-Mory E65654 entity
Predicate containsCommune P15149 FINISHED
Object Saint-Mard
Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
E395706 NE FINISHED

How this triple was built (4 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: Saint-Mard | Statement: [canton of Mitry-Mory, containsCommune, Saint-Mard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint-Mard
Context triple: [canton of Mitry-Mory, containsCommune, Saint-Mard]
  • A. Montélimar
    Montélimar is a town in southeastern France, known as the "gateway to Provence" and famous for its traditional nougat confectionery.
  • B. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • C. Saint-Cyriens
    Saint-Cyriens are the officer cadets and alumni of France’s prestigious École spéciale militaire de Saint-Cyr, renowned as the country’s foremost military academy.
  • D. Lisieux
    Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
  • E. Marche-les-Dames
    Marche-les-Dames is a village in the Namur province of Belgium, best known as the site where King Albert I died in a mountaineering accident.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saint-Mard
Triple: [canton of Mitry-Mory, containsCommune, Saint-Mard]
Generated description
Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saint-Mard
Target entity description: Saint-Mard is a French commune in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
  • A. Montélimar
    Montélimar is a town in southeastern France, known as the "gateway to Provence" and famous for its traditional nougat confectionery.
  • B. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • C. Saint-Cyriens
    Saint-Cyriens are the officer cadets and alumni of France’s prestigious École spéciale militaire de Saint-Cyr, renowned as the country’s foremost military academy.
  • D. Lisieux
    Lisieux is a town and commune in the Calvados department of Normandy in northwestern France, known as a major Catholic pilgrimage site associated with Saint Thérèse of Lisieux.
  • E. Marche-les-Dames
    Marche-les-Dames is a village in the Namur province of Belgium, best known as the site where King Albert I died in a mountaineering accident.
  • F. None of above. chosen

Provenance (5 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_69b511f9d8dc8190bc3728e75dec1059 completed March 14, 2026, 7:44 a.m.
NEDg Description generation batch_69b515d2e4b88190b7bd0492bf7e36ec completed March 14, 2026, 8:01 a.m.
NED2 Entity disambiguation (via description) batch_69b516268ddc8190bffd1c0423797add completed March 14, 2026, 8:02 a.m.
Created at: March 8, 2026, 3:05 p.m.