Triple
T23554621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viamala region |
E578148
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Andeer
Andeer is a small Swiss village in the canton of Graubünden, known for its alpine scenery and historic thermal baths.
|
E1590164
|
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: Andeer | Statement: [Viamala region, hasSettlement, Andeer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andeer Context triple: [Viamala region, hasSettlement, Andeer]
-
A.
Daleelva
Daleelva is a river in Vaksdal Municipality in western Norway, known for flowing through steep valleys and contributing to the region’s hydropower and natural landscape.
-
B.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
-
C.
Deonar
Deonar is a suburban area in eastern Mumbai, India, known for housing one of Asia’s largest and oldest garbage dumping grounds.
-
D.
Solsidan
Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
-
E.
Arrakeen
Arrakeen is the principal city and political center on the desert planet Arrakis in Frank Herbert's Dune universe.
- 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: Andeer Triple: [Viamala region, hasSettlement, Andeer]
Generated description
Andeer is a small Swiss village in the canton of Graubünden, known for its alpine scenery and historic thermal baths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andeer Target entity description: Andeer is a small Swiss village in the canton of Graubünden, known for its alpine scenery and historic thermal baths.
-
A.
Daleelva
Daleelva is a river in Vaksdal Municipality in western Norway, known for flowing through steep valleys and contributing to the region’s hydropower and natural landscape.
-
B.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
-
C.
Deonar
Deonar is a suburban area in eastern Mumbai, India, known for housing one of Asia’s largest and oldest garbage dumping grounds.
-
D.
Solsidan
Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
-
E.
Arrakeen
Arrakeen is the principal city and political center on the desert planet Arrakis in Frank Herbert's Dune universe.
- 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.