Triple
T18919103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Le Mortainais |
E462797
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tirepied-sur-Sée
Tirepied-sur-Sée is a commune in the Manche department of northwestern France, situated in the Normandy region.
|
E1350475
|
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: Tirepied-sur-Sée | Statement: [Canton of Le Mortainais, contains, Tirepied-sur-Sée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirepied-sur-Sée Context triple: [Canton of Le Mortainais, contains, Tirepied-sur-Sée]
-
A.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
B.
Yèvres-le-Petit
Yèvres-le-Petit is a small French commune located in the Aube department in the Grand Est region of north-central France.
-
C.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
-
D.
Pierrelaye
Pierrelaye is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
E.
Chassepierre
Chassepierre is a picturesque village in southern Belgium, renowned for its scenic setting along the Semois River and its annual international street arts festival.
- 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: Tirepied-sur-Sée Triple: [Canton of Le Mortainais, contains, Tirepied-sur-Sée]
Generated description
Tirepied-sur-Sée is a 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: Tirepied-sur-Sée Target entity description: Tirepied-sur-Sée is a commune in the Manche department of northwestern France, situated in the Normandy region.
-
A.
Vernouillet
Vernouillet is a commune in northern France located in the Eure-et-Loir department in the Centre-Val de Loire region.
-
B.
Yèvres-le-Petit
Yèvres-le-Petit is a small French commune located in the Aube department in the Grand Est region of north-central France.
-
C.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
-
D.
Pierrelaye
Pierrelaye is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
-
E.
Chassepierre
Chassepierre is a picturesque village in southern Belgium, renowned for its scenic setting along the Semois River and its annual international street arts festival.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c629527481909dad169f07df0da4 |
completed | April 20, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fb987208190aee1274803c7cb72 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a1715c188190add6e569b3cf2831 |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1ccede88190ba784a563306b412 |
completed | May 14, 2026, 10:19 a.m. |
Created at: April 10, 2026, 11:59 a.m.