Triple
T15339265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouen metropolitan area |
E366746
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Saint-Martin-du-Vivier
Saint-Martin-du-Vivier is a small commune in northern France that forms part of the suburban area surrounding the city of Rouen in Normandy.
|
E1151402
|
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-Martin-du-Vivier | Statement: [Rouen metropolitan area, hasPart, Saint-Martin-du-Vivier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Martin-du-Vivier Context triple: [Rouen metropolitan area, hasPart, Saint-Martin-du-Vivier]
-
A.
Saint-Martin-en-Haut
Saint-Martin-en-Haut is a rural commune in eastern France situated in the scenic Monts du Lyonnais, known for its hilly landscapes and agricultural character.
-
B.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
-
C.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
D.
Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
-
E.
Villaz-Saint-Pierre
Villaz-Saint-Pierre is a small municipality in the canton of Fribourg in western Switzerland.
- 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-Martin-du-Vivier Triple: [Rouen metropolitan area, hasPart, Saint-Martin-du-Vivier]
Generated description
Saint-Martin-du-Vivier is a small commune in northern France that forms part of the suburban area surrounding the city of Rouen in Normandy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saint-Martin-du-Vivier Target entity description: Saint-Martin-du-Vivier is a small commune in northern France that forms part of the suburban area surrounding the city of Rouen in Normandy.
-
A.
Saint-Martin-en-Haut
Saint-Martin-en-Haut is a rural commune in eastern France situated in the scenic Monts du Lyonnais, known for its hilly landscapes and agricultural character.
-
B.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
-
C.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
-
D.
Saint-Véran
Saint-Véran is a French wine appellation in southern Burgundy known for its high-quality Chardonnay-based white wines.
-
E.
Villaz-Saint-Pierre
Villaz-Saint-Pierre is a small municipality in the canton of Fribourg in western Switzerland.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e12eb7c8190944a260aa1aa9156 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02a62dcc819087eddd2f0b4c29cb |
completed | May 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff036153588190ae46fcde257eb3cb |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:17 a.m.