Triple
T3141454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Mitry-Mory |
E65654
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Gressy
Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
|
E345913
|
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: Gressy | Statement: [canton of Mitry-Mory, containsCommune, Gressy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gressy Context triple: [canton of Mitry-Mory, containsCommune, Gressy]
-
A.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
B.
Bourdigny
Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
-
C.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
- 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: Gressy Triple: [canton of Mitry-Mory, containsCommune, Gressy]
Generated description
Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gressy Target entity description: Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
-
A.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
-
B.
Bourdigny
Bourdigny is a small village within the municipality of Satigny in the canton of Geneva, Switzerland.
-
C.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
- 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_69b2f3b27a088190b20b3f4404c02c32 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f8f8d26c8190b0e8c46dd2846ef3 |
completed | March 12, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3081b9ca481909843bed69e47af53 |
completed | March 12, 2026, 6:38 p.m. |
Created at: March 8, 2026, 3:05 p.m.