Triple
T13411826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meurthe River |
E320107
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
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.
|
E1038850
|
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: Varangéville | Statement: [Meurthe River, flowsThrough, Varangéville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varangéville Context triple: [Meurthe River, flowsThrough, Varangéville]
-
A.
Bois-de-Villers
Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
-
B.
Biéville-Beuville
Biéville-Beuville is a commune in the Calvados department in the Normandy region of northwestern France.
-
C.
Bénouville
Bénouville is a commune in the Calvados department of Normandy in northwestern France, known for its historic Pegasus Bridge from World War II.
-
D.
Ollainville
Ollainville is a commune in the Essonne department in the Île-de-France region of northern France.
-
E.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
- 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: Varangéville Triple: [Meurthe River, flowsThrough, Varangéville]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varangéville Target entity description: 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.
-
A.
Bois-de-Villers
Bois-de-Villers is a village in the municipality of Jalhay in the Walloon region of Belgium, known for its rural setting in the Ardennes.
-
B.
Biéville-Beuville
Biéville-Beuville is a commune in the Calvados department in the Normandy region of northwestern France.
-
C.
Bénouville
Bénouville is a commune in the Calvados department of Normandy in northwestern France, known for its historic Pegasus Bridge from World War II.
-
D.
Ollainville
Ollainville is a commune in the Essonne department in the Île-de-France region of northern France.
-
E.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73195e4d88190ad356d0e3e18d34f |
completed | May 3, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73220ffc08190bfb1b89757efd606 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:35 p.m.