Triple
T23554627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viamala region |
E578148
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Urmein
Urmein is a small mountain village and municipality in the canton of Graubünden in eastern Switzerland, known for its scenic alpine setting.
|
E1590169
|
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: Urmein | Statement: [Viamala region, hasSettlement, Urmein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urmein Context triple: [Viamala region, hasSettlement, Urmein]
-
A.
Ourém
Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
-
B.
Ursem
Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
-
C.
Urwies
Urwies is a small settlement in Bavaria, Germany, known as a starting point for hikes up the Hochstaufen mountain in the Chiemgau Alps.
-
D.
Urausu
Urausu is a small town located in Hokkaido, Japan, known for its rural character and agricultural surroundings.
-
E.
Omuntele
Omuntele is a settlement in northern Namibia’s Oshikoto Region, known for its rural character and role as a local administrative and farming community.
- 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: Urmein Triple: [Viamala region, hasSettlement, Urmein]
Generated description
Urmein is a small mountain village and municipality in the canton of Graubünden in eastern Switzerland, known for its scenic alpine setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urmein Target entity description: Urmein is a small mountain village and municipality in the canton of Graubünden in eastern Switzerland, known for its scenic alpine setting.
-
A.
Ourém
Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
-
B.
Ursem
Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder landscape.
-
C.
Urwies
Urwies is a small settlement in Bavaria, Germany, known as a starting point for hikes up the Hochstaufen mountain in the Chiemgau Alps.
-
D.
Urausu
Urausu is a small town located in Hokkaido, Japan, known for its rural character and agricultural surroundings.
-
E.
Omuntele
Omuntele is a settlement in northern Namibia’s Oshikoto Region, known for its rural character and role as a local administrative and farming community.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed253788190ba75109af0e91b37 |
completed | April 29, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf67efbc8190a75c1d6cb9bd63f9 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce12579188190befd636d3714675a |
completed | May 19, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce187efa48190876f67fef4873af2 |
completed | May 19, 2026, 10:17 p.m. |
Created at: April 17, 2026, 6:12 p.m.