Triple
T20709358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Charleroi |
E508991
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Aiseau-Presles
Aiseau-Presles is a municipality in the Walloon region of Belgium, located in the province of Hainaut.
|
E1445533
|
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: Aiseau-Presles | Statement: [Arrondissement of Charleroi, containsMunicipality, Aiseau-Presles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aiseau-Presles Context triple: [Arrondissement of Charleroi, containsMunicipality, Aiseau-Presles]
-
A.
Vachères
Vachères is a small rural commune in southeastern France, known for its picturesque Provençal landscape and traditional village character.
-
B.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
-
E.
Genouillet
Genouillet is a rare, old white wine grape variety from Central Europe, historically cultivated in France and believed to descend from the ancient Heunisch Weiss lineage.
- 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: Aiseau-Presles Triple: [Arrondissement of Charleroi, containsMunicipality, Aiseau-Presles]
Generated description
Aiseau-Presles is a municipality in the Walloon region of Belgium, located in the province of Hainaut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aiseau-Presles Target entity description: Aiseau-Presles is a municipality in the Walloon region of Belgium, located in the province of Hainaut.
-
A.
Vachères
Vachères is a small rural commune in southeastern France, known for its picturesque Provençal landscape and traditional village character.
-
B.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
C.
Peseux
Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
-
D.
Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
-
E.
Genouillet
Genouillet is a rare, old white wine grape variety from Central Europe, historically cultivated in France and believed to descend from the ancient Heunisch Weiss lineage.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1961090819090daf7254f90a176 |
completed | April 21, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7f4d5f08190a733c7247f51f492 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d8f47be881909859bbe23887d0fc |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:14 p.m.