Triple
T21733414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberhalbstein |
E536462
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Riom
Riom is a small village in the Oberhalbstein region of the Swiss canton of Graubünden, known for its traditional alpine character and scenic mountain surroundings.
|
E1499449
|
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: Riom | Statement: [Oberhalbstein, hasSettlement, Riom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riom Context triple: [Oberhalbstein, hasSettlement, Riom]
-
A.
Riom
Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
-
B.
Barisien
A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
-
C.
Marseille
Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
-
D.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
-
E.
Garches
Garches is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to major Parisian business districts.
- 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: Riom Triple: [Oberhalbstein, hasSettlement, Riom]
Generated description
Riom is a small village in the Oberhalbstein region of the Swiss canton of Graubünden, known for its traditional alpine character and scenic mountain surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riom Target entity description: Riom is a small village in the Oberhalbstein region of the Swiss canton of Graubünden, known for its traditional alpine character and scenic mountain surroundings.
-
A.
Riom
Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
-
B.
Barisien
A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
-
C.
Marseille
Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
-
D.
Vichy
Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
-
E.
Garches
Garches is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to major Parisian business districts.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd09852c8190b3486c09f22ef92b |
completed | April 28, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2ed049448190bb1f869ce91b35db |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a2ffaaa708190b43531cbc6448b00 |
completed | May 17, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a307b81288190a8254e32b36ed3f1 |
completed | May 17, 2026, 9:17 p.m. |
Created at: April 16, 2026, 6:48 p.m.