Triple
T10619607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amay |
E295673
|
entity |
| Predicate | hasMunicipalSection |
P10450
|
FINISHED |
| Object |
Flône
Flône is a village that forms one of the municipal sections of the town of Amay in the province of Liège, Belgium.
|
E877038
|
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: Flône | Statement: [Amay, hasMunicipalSection, Flône]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flône Context triple: [Amay, hasMunicipalSection, Flône]
-
A.
La Bresse
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
B.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
C.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
D.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
E.
La Venoge
La Venoge is a river in the canton of Vaud in western Switzerland, known for flowing into Lake Geneva and inspiring a famous Swiss poem of the same name.
- 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: Flône Triple: [Amay, hasMunicipalSection, Flône]
Generated description
Flône is a village that forms one of the municipal sections of the town of Amay in the province of Liège, Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flône Target entity description: Flône is a village that forms one of the municipal sections of the town of Amay in the province of Liège, Belgium.
-
A.
La Bresse
La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
-
B.
Sauldre
Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
-
C.
Gouin
Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
-
D.
Vieussan
Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
-
E.
La Venoge
La Venoge is a river in the canton of Vaud in western Switzerland, known for flowing into Lake Geneva and inspiring a famous Swiss poem of the same name.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6fc47c8190b77b61a7fd223d65 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a356e548190ab7a4a2c7111ba89 |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 8:21 p.m.