Triple
T6240577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirandola |
E139587
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object |
Sainte-Savine
Sainte-Savine is a commune in the Aube department of north-central France, located just west of Troyes.
|
E582355
|
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: Sainte-Savine | Statement: [Mirandola, twinnedWith, Sainte-Savine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainte-Savine Context triple: [Mirandola, twinnedWith, Sainte-Savine]
-
A.
Sallanches
Sallanches is a commune in southeastern France’s Haute-Savoie department, situated in the French Alps near Mont Blanc and known as a gateway to major alpine ski resorts.
-
B.
Bourg-Saint-Maurice
Bourg-Saint-Maurice is a French Alpine town in the Savoie department, known as a gateway to major ski resorts such as Les Arcs in the Graian Alps.
-
C.
Valbonne
Valbonne is a picturesque village in southeastern France known for its preserved medieval old town and proximity to the technology hub of Sophia Antipolis.
-
D.
Bilhères
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
-
E.
Peisey-Vallandry
Peisey-Vallandry is a French Alpine ski resort and traditional mountain village area in the Savoie region, known for its access to the Paradiski ski domain.
- 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: Sainte-Savine Triple: [Mirandola, twinnedWith, Sainte-Savine]
Generated description
Sainte-Savine is a commune in the Aube department of north-central France, located just west of Troyes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sainte-Savine Target entity description: Sainte-Savine is a commune in the Aube department of north-central France, located just west of Troyes.
-
A.
Sallanches
Sallanches is a commune in southeastern France’s Haute-Savoie department, situated in the French Alps near Mont Blanc and known as a gateway to major alpine ski resorts.
-
B.
Bourg-Saint-Maurice
Bourg-Saint-Maurice is a French Alpine town in the Savoie department, known as a gateway to major ski resorts such as Les Arcs in the Graian Alps.
-
C.
Valbonne
Valbonne is a picturesque village in southeastern France known for its preserved medieval old town and proximity to the technology hub of Sophia Antipolis.
-
D.
Bilhères
Bilhères is a small mountain village in southwestern France, situated in the Ossau Valley of the Pyrenees.
-
E.
Peisey-Vallandry
Peisey-Vallandry is a French Alpine ski resort and traditional mountain village area in the Savoie region, known for its access to the Paradiski ski domain.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063067d9c819085a18d9d03939266 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5190e0a6481909e5372334a851770 |
completed | March 26, 2026, 11:31 a.m. |
| NEDg | Description generation | batch_69c51b947088819089242ce511e2c639 |
completed | March 26, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5843fd33c8190be48371960cfbfbb |
completed | March 26, 2026, 7:08 p.m. |
Created at: March 22, 2026, 4:23 p.m.