Triple
T18597485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aarhus South district |
E454529
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Mårslet
Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
|
E1336571
|
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: Mårslet | Statement: [Aarhus South district, hasNeighborhood, Mårslet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mårslet Context triple: [Aarhus South district, hasNeighborhood, Mårslet]
-
A.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
B.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
C.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
-
D.
Møsstrond
Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
-
E.
Tysvær
Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
- 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: Mårslet Triple: [Aarhus South district, hasNeighborhood, Mårslet]
Generated description
Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mårslet Target entity description: Mårslet is a suburban village and residential area located just south of the city of Aarhus in Denmark.
-
A.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
-
B.
Mortensrud
Mortensrud is a residential neighborhood in the Søndre Nordstrand borough of Oslo, Norway, known for its multicultural population and modern church, and served as the terminus of an Oslo Metro line.
-
C.
Ormåsen
Ormåsen is a small residential village in Øvre Eiker municipality in Buskerud county, Norway.
-
D.
Møsstrond
Møsstrond is a small rural settlement in the mountainous municipality of Vinje in Telemark, Norway, known for its lakes, forests, and traditional Norwegian countryside.
-
E.
Tysvær
Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
- 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_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.