Triple
T2842190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée d’Ossau |
E62493
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Bielle
Bielle is a small traditional village in southwestern France’s Ossau Valley, known for its pastoral Pyrenean setting and historic rural architecture.
|
E303996
|
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: Bielle | Statement: [Vallée d’Ossau, hasVillage, Bielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bielle Context triple: [Vallée d’Ossau, hasVillage, Bielle]
-
A.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Beuel
Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
-
D.
Booué
Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
-
E.
Confignon
Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
- 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: Bielle Triple: [Vallée d’Ossau, hasVillage, Bielle]
Generated description
Bielle is a small traditional village in southwestern France’s Ossau Valley, known for its pastoral Pyrenean setting and historic rural architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bielle Target entity description: Bielle is a small traditional village in southwestern France’s Ossau Valley, known for its pastoral Pyrenean setting and historic rural architecture.
-
A.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
B.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
C.
Beuel
Beuel is a district on the right bank of the Rhine in the German city of Bonn, known for its residential areas and local carnival traditions.
-
D.
Booué
Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
-
E.
Confignon
Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d22e588190b119e7d9f9c3873a |
completed | March 10, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_69afea180cac8190a5f90c4ffa0dd87a |
completed | March 10, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0089bdb2881909f9f7fbd60b79e2a |
completed | March 10, 2026, 12:03 p.m. |
Created at: March 6, 2026, 10:01 p.m.