Triple
T18597040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarhus Airport |
E454517
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Tirstrup
Tirstrup is a small village in eastern Jutland, Denmark, best known for hosting Aarhus Airport nearby.
|
E1336569
|
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: Tirstrup | Statement: [Aarhus Airport, locatedNear, Tirstrup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirstrup Context triple: [Aarhus Airport, locatedNear, Tirstrup]
-
A.
Lastrup
Lastrup is a municipality in Lower Saxony, Germany, situated within the predominantly rural region of the Cloppenburg district.
-
B.
Glostrup
Glostrup is a suburban town and municipality in the Copenhagen metropolitan area of Denmark, known for its residential neighborhoods and commercial districts.
-
C.
Korsholm
Korsholm is a coastal municipality in western Finland, known for its largely Swedish-speaking population and proximity to the city of Vaasa in the Ostrobothnia region.
-
D.
Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
E.
Blangsted
Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
- 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: Tirstrup Triple: [Aarhus Airport, locatedNear, Tirstrup]
Generated description
Tirstrup is a small village in eastern Jutland, Denmark, best known for hosting Aarhus Airport nearby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tirstrup Target entity description: Tirstrup is a small village in eastern Jutland, Denmark, best known for hosting Aarhus Airport nearby.
-
A.
Lastrup
Lastrup is a municipality in Lower Saxony, Germany, situated within the predominantly rural region of the Cloppenburg district.
-
B.
Glostrup
Glostrup is a suburban town and municipality in the Copenhagen metropolitan area of Denmark, known for its residential neighborhoods and commercial districts.
-
C.
Korsholm
Korsholm is a coastal municipality in western Finland, known for its largely Swedish-speaking population and proximity to the city of Vaasa in the Ostrobothnia region.
-
D.
Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
E.
Blangsted
Blangsted is a surname most notably associated with Folmar Blangsted, a film editor.
- 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_69e5474ce0c08190b440cbe86b6ef7b9 |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05170f76188190912e8f79bd110b09 |
completed | May 14, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a05192a654481908235ea8e16150c9b |
completed | May 14, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05199a9abc8190baba3e1ba422fd03 |
completed | May 14, 2026, 12:38 a.m. |
Created at: April 10, 2026, 11:44 a.m.