Triple
T9219224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Carentan-les-Marais |
E221316
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Boutteville
Boutteville is a small commune in the Manche department of northwestern France, situated in the Normandy region.
|
E785439
|
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: Boutteville | Statement: [canton of Carentan-les-Marais, containsAdministrativeTerritorialEntity, Boutteville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boutteville Context triple: [canton of Carentan-les-Marais, containsAdministrativeTerritorialEntity, Boutteville]
-
A.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
B.
Courtedoux
Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
C.
Les Breuleux
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Bourmont
Bourmont is a historic hilltop town in northeastern France known for its medieval architecture and panoramic views over the surrounding Haute-Marne countryside.
- 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: Boutteville Triple: [canton of Carentan-les-Marais, containsAdministrativeTerritorialEntity, Boutteville]
Generated description
Boutteville is a small commune in the Manche department of northwestern France, situated in the Normandy region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boutteville Target entity description: Boutteville is a small commune in the Manche department of northwestern France, situated in the Normandy region.
-
A.
Fallières
Fallières is a French surname most notably borne by Armand Fallières, who served as President of France in the early 20th century.
-
B.
Courtedoux
Courtedoux is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
-
C.
Les Breuleux
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Bourmont
Bourmont is a historic hilltop town in northeastern France known for its medieval architecture and panoramic views over the surrounding Haute-Marne countryside.
- 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_69d06770ccf08190b00bf35c16a80071 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d06864b8c48190b8e08ab9c1c85c9a |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:28 p.m.