Triple
T19288577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nendaz |
E482378
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Beuson
Beuson is a small village that forms part of the municipality of Nendaz in the Swiss canton of Valais.
|
E1367378
|
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: Beuson | Statement: [Nendaz, hasLocality, Beuson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beuson Context triple: [Nendaz, hasLocality, Beuson]
-
A.
Bonheiden
Bonheiden is a municipality in the Belgian province of Antwerp, known as a residential community near the city of Mechelen.
-
B.
Cheux
Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Boulgher
Boulgher is an alternative spelling or variant form of the surname Bulger.
-
D.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
E.
Baugnez
Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
- 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: Beuson Triple: [Nendaz, hasLocality, Beuson]
Generated description
Beuson is a small village that forms part of the municipality of Nendaz in the Swiss canton of Valais.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beuson Target entity description: Beuson is a small village that forms part of the municipality of Nendaz in the Swiss canton of Valais.
-
A.
Bonheiden
Bonheiden is a municipality in the Belgian province of Antwerp, known as a residential community near the city of Mechelen.
-
B.
Cheux
Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Boulgher
Boulgher is an alternative spelling or variant form of the surname Bulger.
-
D.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
E.
Baugnez
Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc043fa481909bbe281a70fb508e |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e82fe948190a2a07dd91c982423 |
completed | May 15, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_6a070f5712548190bdbcf10b36983411 |
completed | May 15, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070fbb93308190acc8625a78477b07 |
completed | May 15, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:30 p.m.