Triple
T9219249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Carentan-les-Marais |
E221316
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Sébeville
Sébeville is a small commune in the Manche department of northwestern France.
|
E784819
|
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: Sébeville | Statement: [canton of Carentan-les-Marais, containsAdministrativeTerritorialEntity, Sébeville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sébeville Context triple: [canton of Carentan-les-Marais, containsAdministrativeTerritorialEntity, Sébeville]
-
A.
Pont-l’Évêque
Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
-
B.
Herbeumont
Herbeumont is a picturesque village and municipality in the Belgian Ardennes, known for its forested landscapes, medieval castle ruins, and scenic views over the Semois valley.
-
C.
Tailleville
Tailleville is a small commune in the Calvados department of the Normandy region in northwestern France.
-
D.
Dubreuilville
Dubreuilville is a small, remote township in northern Ontario, Canada, known historically for its forestry and mining activities.
-
E.
Ville Basse
Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
- 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: Sébeville Triple: [canton of Carentan-les-Marais, containsAdministrativeTerritorialEntity, Sébeville]
Generated description
Sébeville is a small commune in the Manche department of northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sébeville Target entity description: Sébeville is a small commune in the Manche department of northwestern France.
-
A.
Pont-l’Évêque
Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
-
B.
Herbeumont
Herbeumont is a picturesque village and municipality in the Belgian Ardennes, known for its forested landscapes, medieval castle ruins, and scenic views over the Semois valley.
-
C.
Tailleville
Tailleville is a small commune in the Calvados department of the Normandy region in northwestern France.
-
D.
Dubreuilville
Dubreuilville is a small, remote township in northern Ontario, Canada, known historically for its forestry and mining activities.
-
E.
Ville Basse
Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda730f688190b64b2cc8c4898ac3 |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0662c28648190979cf786fc35ab75 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d06771ba808190a7b10f664425e76e |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d068087ab881908edcfd384a2e3f07 |
completed | April 4, 2026, 1:23 a.m. |
Created at: March 30, 2026, 7:28 p.m.