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.