Triple
T18597556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midttrafik |
E454531
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object |
Ikast-Brande
Ikast-Brande is a municipality in Denmark’s Central Jutland region, known for its mix of industrial activity, wind energy production, and rural communities.
|
E1333048
|
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: Ikast-Brande | Statement: [Midttrafik, operatesIn, Ikast-Brande]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikast-Brande Context triple: [Midttrafik, operatesIn, Ikast-Brande]
-
A.
Ikast
Ikast is a town in central Jutland, Denmark, known for its textile industry and as a local hub for sports and commerce.
-
B.
Skaraborg
Skaraborg is a historical province in southwestern Sweden known for its agricultural landscape, medieval churches, and former military significance.
-
C.
Hillerød
Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
-
D.
Ishøj
Ishøj is a coastal town and municipality in eastern Denmark, located on the island of Zealand within the Copenhagen metropolitan area.
-
E.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
- 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: Ikast-Brande Triple: [Midttrafik, operatesIn, Ikast-Brande]
Generated description
Ikast-Brande is a municipality in Denmark’s Central Jutland region, known for its mix of industrial activity, wind energy production, and rural communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikast-Brande Target entity description: Ikast-Brande is a municipality in Denmark’s Central Jutland region, known for its mix of industrial activity, wind energy production, and rural communities.
-
A.
Ikast
Ikast is a town in central Jutland, Denmark, known for its textile industry and as a local hub for sports and commerce.
-
B.
Skaraborg
Skaraborg is a historical province in southwestern Sweden known for its agricultural landscape, medieval churches, and former military significance.
-
C.
Hillerød
Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
-
D.
Ishøj
Ishøj is a coastal town and municipality in eastern Denmark, located on the island of Zealand within the Copenhagen metropolitan area.
-
E.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474d934481909b4afd5ef9031c73 |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05037eda788190977fcb50aa4d2357 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a0504cd76388190b67c78250297573d |
completed | May 13, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505482c588190952fe07726f64b93 |
completed | May 13, 2026, 11:12 p.m. |
Created at: April 10, 2026, 11:44 a.m.