Triple
T6351046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nørholm |
E142869
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object |
Nørholm gård
Nørholm gård is a historic Norwegian farm estate, best known as the longtime home of Nobel Prize–winning author Knut Hamsun.
|
E586383
|
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: Nørholm gård | Statement: [Nørholm, hasAlternateName, Nørholm gård]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nørholm gård Context triple: [Nørholm, hasAlternateName, Nørholm gård]
-
A.
Haugen farm
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
-
B.
Humlegården
Humlegården is a large historic park in central Stockholm known for its green spaces, walking paths, and recreational areas.
-
C.
Birkelunden
Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
-
D.
Rønne
Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
-
E.
Gudhjem
Gudhjem is a picturesque coastal village on the Danish island of Bornholm, known for its steep streets, red-roofed houses, and harbor overlooking the Baltic Sea.
- 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: Nørholm gård Triple: [Nørholm, hasAlternateName, Nørholm gård]
Generated description
Nørholm gård is a historic Norwegian farm estate, best known as the longtime home of Nobel Prize–winning author Knut Hamsun.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nørholm gård Target entity description: Nørholm gård is a historic Norwegian farm estate, best known as the longtime home of Nobel Prize–winning author Knut Hamsun.
-
A.
Haugen farm
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
-
B.
Humlegården
Humlegården is a large historic park in central Stockholm known for its green spaces, walking paths, and recreational areas.
-
C.
Birkelunden
Birkelunden is a popular public park in Oslo’s Grünerløkka district, known for its green spaces, cultural events, and historic surroundings.
-
D.
Rønne
Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
-
E.
Gudhjem
Gudhjem is a picturesque coastal village on the Danish island of Bornholm, known for its steep streets, red-roofed houses, and harbor overlooking the Baltic Sea.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dc2790819084aaf7067dc25733 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604546ed08190bb1c89bc5461f5cd |
completed | March 27, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69c6059ad89881909599c61f293791cc |
completed | March 27, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6065044908190b2ba71490a3bae54 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:31 p.m.