Triple
T21422294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Lapalisse |
E528464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Luneau
Luneau is a small commune in central France’s Allier department, situated within the rural canton of Lapalisse.
|
E1486139
|
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: Luneau | Statement: [canton of Lapalisse, contains, Luneau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luneau Context triple: [canton of Lapalisse, contains, Luneau]
-
A.
Lépaud
Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
-
B.
Lanouaille
Lanouaille is a small commune in southwestern France’s Dordogne department, known for its rural character and location within the Périgord Vert area.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Lumeçon
Lumeçon is a traditional dragon-slaying combat reenactment and popular folk spectacle performed during the Doudou festival in Mons, Belgium.
-
E.
Louletanos
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
- 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: Luneau Triple: [canton of Lapalisse, contains, Luneau]
Generated description
Luneau is a small commune in central France’s Allier department, situated within the rural canton of Lapalisse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luneau Target entity description: Luneau is a small commune in central France’s Allier department, situated within the rural canton of Lapalisse.
-
A.
Lépaud
Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
-
B.
Lanouaille
Lanouaille is a small commune in southwestern France’s Dordogne department, known for its rural character and location within the Périgord Vert area.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Lumeçon
Lumeçon is a traditional dragon-slaying combat reenactment and popular folk spectacle performed during the Doudou festival in Mons, Belgium.
-
E.
Louletanos
Louletanos are the inhabitants or natives of Loulé, a town in the Algarve region of southern Portugal.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2d17f5081908f0185011eae3160 |
completed | April 22, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cfe2dcac8190b96add5b09edb4f6 |
completed | May 17, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_6a09d161cbbc8190abe8ef1ec7e7c29e |
completed | May 17, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d1c579bc8190b66b7cf660738409 |
completed | May 17, 2026, 2:33 p.m. |
Created at: April 16, 2026, 5:48 p.m.