Triple
T11051571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holstebro |
E261265
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Storå
Storå is a river in western Jutland, Denmark, known for flowing through the town of Holstebro and contributing to the region’s natural and cultural landscape.
|
E902417
|
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: Storå | Statement: [Holstebro, locatedOnRiver, Storå]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storå Context triple: [Holstebro, locatedOnRiver, Storå]
-
A.
Storå
Storå is a small coastal settlement located on the shores of the fjord in the former municipality of Tysfjord in Nordland county, Norway.
-
B.
Stenåsa
Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
-
C.
Bålsta
Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
-
D.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
E.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
- 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: Storå Triple: [Holstebro, locatedOnRiver, Storå]
Generated description
Storå is a river in western Jutland, Denmark, known for flowing through the town of Holstebro and contributing to the region’s natural and cultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storå Target entity description: Storå is a river in western Jutland, Denmark, known for flowing through the town of Holstebro and contributing to the region’s natural and cultural landscape.
-
A.
Storå
Storå is a small coastal settlement located on the shores of the fjord in the former municipality of Tysfjord in Nordland county, Norway.
-
B.
Stenåsa
Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
-
C.
Bålsta
Bålsta is a locality in Uppsala County, Sweden, known as the main urban center of Håbo Municipality and a commuter town within the Greater Stockholm region.
-
D.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
E.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798698bd88190aa97afd37f55e19f |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c86052148190adfc250c3dd27094 |
completed | April 18, 2026, 6:07 p.m. |
| NEDg | Description generation | batch_69e3cadf271081908d2b794a4288892a |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf08cf108190966b4abd0514a6ea |
completed | April 18, 2026, 6:35 p.m. |
Created at: April 8, 2026, 9:26 p.m.