Triple
T3953972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Var |
E84932
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sainte-Maxime
Sainte-Maxime is a seaside resort town on the French Riviera known for its Mediterranean beaches, marina, and views across the bay to Saint-Tropez.
|
E485204
|
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-Maxime | Statement: [Var, contains, Sainte-Maxime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainte-Maxime Context triple: [Var, contains, Sainte-Maxime]
-
A.
La Seyne-sur-Mer
La Seyne-sur-Mer is a coastal town in southeastern France on the Mediterranean, historically known for its major shipbuilding industry.
-
B.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
C.
Leucate
Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
-
D.
Collioure
Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
-
E.
Villefranche-sur-Mer
Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
- 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-Maxime Triple: [Var, contains, Sainte-Maxime]
Generated description
Sainte-Maxime is a seaside resort town on the French Riviera known for its Mediterranean beaches, marina, and views across the bay to Saint-Tropez.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sainte-Maxime Target entity description: Sainte-Maxime is a seaside resort town on the French Riviera known for its Mediterranean beaches, marina, and views across the bay to Saint-Tropez.
-
A.
La Seyne-sur-Mer
La Seyne-sur-Mer is a coastal town in southeastern France on the Mediterranean, historically known for its major shipbuilding industry.
-
B.
Hyères
Hyères is a coastal town in southeastern France known for its Mediterranean climate, historic old town, and nearby Golden Islands (Îles d’Hyères).
-
C.
Leucate
Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
-
D.
Collioure
Collioure is a picturesque coastal town in southern France renowned for its vibrant light and colors that inspired Fauvist painters such as Henri Matisse.
-
E.
Villefranche-sur-Mer
Villefranche-sur-Mer is a picturesque coastal town in southeastern France known for its deep natural harbor, colorful old town, and scenic setting on the Mediterranean Sea.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef93b8f5c8190bdb062a76b68b3e0 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89b9fcbc8190868b8d0584e94118 |
completed | March 21, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69be8b54b7648190a32236301384a54f |
completed | March 21, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8ba6dc4c81909a64f409bd18aa63 |
completed | March 21, 2026, 12:14 p.m. |
Created at: March 9, 2026, 3:30 p.m.