Triple
T18517567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Témiscamingue |
E452504
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Lorrainville
Lorrainville is a small municipality in the Témiscamingue region of western Quebec, Canada, known for its rural character and forestry- and agriculture-based local economy.
|
E1330876
|
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: Lorrainville | Statement: [Témiscamingue, hasSettlement, Lorrainville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorrainville Context triple: [Témiscamingue, hasSettlement, Lorrainville]
-
A.
Neuvilly
Neuvilly is a commune in northern France located within the Nord department in the Hauts-de-France region.
-
B.
Frémainville
Frémainville is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
C.
Varangéville
Varangéville is a commune in northeastern France’s Meurthe-et-Moselle department, known for its location along the Meurthe River and its historical salt mining industry.
-
D.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
-
E.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
- 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: Lorrainville Triple: [Témiscamingue, hasSettlement, Lorrainville]
Generated description
Lorrainville is a small municipality in the Témiscamingue region of western Quebec, Canada, known for its rural character and forestry- and agriculture-based local economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorrainville Target entity description: Lorrainville is a small municipality in the Témiscamingue region of western Quebec, Canada, known for its rural character and forestry- and agriculture-based local economy.
-
A.
Neuvilly
Neuvilly is a commune in northern France located within the Nord department in the Hauts-de-France region.
-
B.
Frémainville
Frémainville is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
C.
Varangéville
Varangéville is a commune in northeastern France’s Meurthe-et-Moselle department, known for its location along the Meurthe River and its historical salt mining industry.
-
D.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
-
E.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside setting.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338b2cd0819095db59f6bfc70814 |
completed | April 19, 2026, 7:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad0868481908acdd25f8298283e |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a049c461c288190955ac8cdaefc055d |
completed | May 13, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cbbc0288190be82f11e660b7dff |
completed | May 13, 2026, 3:46 p.m. |
Created at: April 10, 2026, 11:36 a.m.