Triple
T18596976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iceberg building complex |
E454516
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Aarhus Ø
Aarhus Ø is a modern waterfront district in Aarhus, Denmark, known for its contemporary architecture, residential developments, and harborfront public spaces.
|
E101867
|
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: Aarhus Ø | Statement: [Iceberg building complex, locatedIn, Aarhus Ø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarhus Ø Context triple: [Iceberg building complex, locatedIn, Aarhus Ø]
-
A.
Ishøj
Ishøj is a coastal town and municipality in eastern Denmark, located on the island of Zealand within the Copenhagen metropolitan area.
-
B.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
C.
Birkerød
Birkerød is a suburban town in northeastern Zealand, Denmark, known for its residential character, green surroundings, and proximity to Copenhagen.
-
D.
Thurø
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
-
E.
Aarhus
Aarhus is Denmark’s second-largest city, a major cultural and economic center on the Jutland peninsula known for its universities, vibrant arts scene, and historic harbor.
- 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: Aarhus Ø Triple: [Iceberg building complex, locatedIn, Aarhus Ø]
Generated description
Aarhus Ø is a modern waterfront district in Aarhus, Denmark, known for its contemporary architecture, residential developments, and harborfront public spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aarhus Ø Target entity description: Aarhus Ø is a modern waterfront district in Aarhus, Denmark, known for its contemporary architecture, residential developments, and harborfront public spaces.
-
A.
Ishøj
Ishøj is a coastal town and municipality in eastern Denmark, located on the island of Zealand within the Copenhagen metropolitan area.
-
B.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
C.
Birkerød
Birkerød is a suburban town in northeastern Zealand, Denmark, known for its residential character, green surroundings, and proximity to Copenhagen.
-
D.
Thurø
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
-
E.
Aarhus
chosen
Aarhus is Denmark’s second-largest city, a major cultural and economic center on the Jutland peninsula known for its universities, vibrant arts scene, and historic harbor.
- F. None of above.
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.