Triple
T20680362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochefort |
E508274
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Mont-Gauthier
Mont-Gauthier is a village in the municipality of Rochefort in the Walloon region of Belgium.
|
E1444064
|
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: Mont-Gauthier | Statement: [Rochefort, hasSubdivision, Mont-Gauthier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont-Gauthier Context triple: [Rochefort, hasSubdivision, Mont-Gauthier]
-
A.
Langelier
Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
-
B.
Langelier
Langelier was a federal electoral district in Quebec, Canada, represented in the House of Commons during the 20th century.
-
C.
Crépeau
Crépeau is a French-language surname of likely French or Québécois origin borne by various notable individuals.
-
D.
Beauprea
Beauprea is a genus of flowering plants in the family Proteaceae, native to New Caledonia and known for its shrub and small tree species with distinctive protea-like inflorescences.
-
E.
Beauharnois‑Salaberry
Beauharnois‑Salaberry is a regional county municipality in southwestern Quebec, Canada, known for its communities along the Saint Lawrence River and its mix of agricultural and industrial areas.
- 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: Mont-Gauthier Triple: [Rochefort, hasSubdivision, Mont-Gauthier]
Generated description
Mont-Gauthier is a village in the municipality of Rochefort in the Walloon region of Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mont-Gauthier Target entity description: Mont-Gauthier is a village in the municipality of Rochefort in the Walloon region of Belgium.
-
A.
Langelier
Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
-
B.
Langelier
Langelier was a federal electoral district in Quebec, Canada, represented in the House of Commons during the 20th century.
-
C.
Crépeau
Crépeau is a French-language surname of likely French or Québécois origin borne by various notable individuals.
-
D.
Beauprea
Beauprea is a genus of flowering plants in the family Proteaceae, native to New Caledonia and known for its shrub and small tree species with distinctive protea-like inflorescences.
-
E.
Beauharnois‑Salaberry
Beauharnois‑Salaberry is a regional county municipality in southwestern Quebec, Canada, known for its communities along the Saint Lawrence River and its mix of agricultural and industrial areas.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea655488190bab168d564d888af |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6cb9f88190a3bdd3d353b78eb0 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.