Triple
T10851989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCH Messecenter Herning |
E256167
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object |
Vardevej
Vardevej is a street in Herning, Denmark, known for providing access to the large exhibition and event complex MCH Messecenter Herning.
|
E888835
|
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: Vardevej | Statement: [MCH Messecenter Herning, locatedOnStreet, Vardevej]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vardevej Context triple: [MCH Messecenter Herning, locatedOnStreet, Vardevej]
-
A.
Kerneveg
Kerneveg is a dialect of the Breton language traditionally spoken in the Cornouaille (Kernev) region of western Brittany.
-
B.
Bergambacht
Bergambacht is a village in the Dutch province of South Holland, known as the birthplace of former Prime Minister Wim Kok.
-
C.
Gammel Kongevej
Gammel Kongevej is a major historic shopping and thoroughfare street in the Frederiksberg district of Copenhagen, known for its boutiques, cafés, and urban atmosphere.
-
D.
Svenskens vei
Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
E.
Veavågen
Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
- 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: Vardevej Triple: [MCH Messecenter Herning, locatedOnStreet, Vardevej]
Generated description
Vardevej is a street in Herning, Denmark, known for providing access to the large exhibition and event complex MCH Messecenter Herning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vardevej Target entity description: Vardevej is a street in Herning, Denmark, known for providing access to the large exhibition and event complex MCH Messecenter Herning.
-
A.
Kerneveg
Kerneveg is a dialect of the Breton language traditionally spoken in the Cornouaille (Kernev) region of western Brittany.
-
B.
Bergambacht
Bergambacht is a village in the Dutch province of South Holland, known as the birthplace of former Prime Minister Wim Kok.
-
C.
Gammel Kongevej
Gammel Kongevej is a major historic shopping and thoroughfare street in the Frederiksberg district of Copenhagen, known for its boutiques, cafés, and urban atmosphere.
-
D.
Svenskens vei
Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
E.
Veavågen
Veavågen is a coastal village in Karmøy municipality in Rogaland county, Norway, known for its fishing industry and maritime character.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75117b76c8190b0fb216b1428c3c7 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb17d978c8190883b4a56e88859de |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69deb515ab608190981689bcad4b7530 |
completed | April 14, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69deb602fa908190bffdd291932da3f1 |
completed | April 14, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:20 p.m.