Triple
T2135569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chambéry |
E46643
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Leyssins
Leyssins is a small river or stream associated with the area of Chambéry in southeastern France.
|
E270776
|
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: Leyssins | Statement: [Chambéry, hasRiver, Leyssins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leyssins Context triple: [Chambéry, hasRiver, Leyssins]
-
A.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
B.
Louhans
Louhans is a small historic town in eastern France known for its arcaded main street and traditional Bresse architecture.
-
C.
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
-
D.
Gouvy
Gouvy is a rural municipality in the Belgian province of Luxembourg, known for its natural landscapes and proximity to the Ardennes region.
-
E.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
- 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: Leyssins Triple: [Chambéry, hasRiver, Leyssins]
Generated description
Leyssins is a small river or stream associated with the area of Chambéry in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leyssins Target entity description: Leyssins is a small river or stream associated with the area of Chambéry in southeastern France.
-
A.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
B.
Louhans
Louhans is a small historic town in eastern France known for its arcaded main street and traditional Bresse architecture.
-
C.
Faya-Largeau
Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
-
D.
Gouvy
Gouvy is a rural municipality in the Belgian province of Luxembourg, known for its natural landscapes and proximity to the Ardennes region.
-
E.
Maurepas
Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdc4ce8c81908d143d5451681e6a |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af175e79d881909390ae71cceb6db2 |
completed | March 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69af1b5f8e44819097badddecc0b503c |
completed | March 9, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1bc06a248190a688d32e1e62c764 |
completed | March 9, 2026, 7:13 p.m. |
Created at: March 4, 2026, 7:44 p.m.