Triple
T906152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ain River |
E19552
|
entity |
| Predicate | hasValley |
P650
|
FINISHED |
| Object |
Val d’Ain
Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
|
E116873
|
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: Val d’Ain | Statement: [Ain River, hasValley, Val d’Ain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val d’Ain Context triple: [Ain River, hasValley, Val d’Ain]
-
A.
Grésivaudan Valley
The Grésivaudan Valley is a broad alpine valley in southeastern France, known for its scenic landscapes, agricultural plains, and proximity to the city of Grenoble.
-
B.
Vallée d’Ossau
Vallée d’Ossau is a scenic valley in the French Pyrenees known for its dramatic mountain landscapes, traditional pastoral villages, and popular hiking routes.
-
C.
Vallée de Montjoie
Vallée de Montjoie is a scenic Alpine valley in the Mont Blanc massif of southeastern France, known for its high mountain landscapes, glaciers, and popular hiking and skiing areas.
-
D.
Ariège
Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
-
E.
Ariège
Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
- 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: Val d’Ain Triple: [Ain River, hasValley, Val d’Ain]
Generated description
Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Val d’Ain Target entity description: Val d’Ain is the valley region shaped by the Ain River, known for its scenic landscapes and natural waterways in eastern France.
-
A.
Grésivaudan Valley
The Grésivaudan Valley is a broad alpine valley in southeastern France, known for its scenic landscapes, agricultural plains, and proximity to the city of Grenoble.
-
B.
Vallée d’Ossau
Vallée d’Ossau is a scenic valley in the French Pyrenees known for its dramatic mountain landscapes, traditional pastoral villages, and popular hiking routes.
-
C.
Vallée de Montjoie
Vallée de Montjoie is a scenic Alpine valley in the Mont Blanc massif of southeastern France, known for its high mountain landscapes, glaciers, and popular hiking and skiing areas.
-
D.
Ariège
Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
-
E.
Ariège
Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2cc85a08190bc8186eb9ed1fa38 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac257f3b2c819082a16c7242d89404 |
completed | March 7, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_69ac25e6cc608190a717c7991936c3a5 |
completed | March 7, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac264b6bc08190a18c4f61ea6eb0f4 |
completed | March 7, 2026, 1:21 p.m. |
Created at: March 1, 2026, 7:39 p.m.