Triple
T18597559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midttrafik |
E454531
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object |
Hedensted
Hedensted is a town and municipality in the Central Denmark Region known for its residential communities and local industry.
|
E1346856
|
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: Hedensted | Statement: [Midttrafik, operatesIn, Hedensted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedensted Context triple: [Midttrafik, operatesIn, Hedensted]
-
A.
Hundested
Hundested is a small coastal town in North Zealand, Denmark, known for its harbor, beaches, and maritime activities.
-
B.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
C.
Blangsted
Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
-
D.
Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
E.
Haderup
Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
- 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: Hedensted Triple: [Midttrafik, operatesIn, Hedensted]
Generated description
Hedensted is a town and municipality in the Central Denmark Region known for its residential communities and local industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hedensted Target entity description: Hedensted is a town and municipality in the Central Denmark Region known for its residential communities and local industry.
-
A.
Hundested
Hundested is a small coastal town in North Zealand, Denmark, known for its harbor, beaches, and maritime activities.
-
B.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
C.
Blangsted
Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
-
D.
Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
E.
Haderup
Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
- 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_6a0575a2137c8190b7e95f13c128e85a |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05778b5cb08190b6800a0afdb76e8e |
completed | May 14, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05781fce1c81908d3ad3830e9c5cc8 |
completed | May 14, 2026, 7:22 a.m. |
Created at: April 10, 2026, 11:44 a.m.