Triple
T5790632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamle Oslo |
E128382
|
entity |
| Predicate | containsNeighbourhood |
P4813
|
FINISHED |
| Object |
Kampen
Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
|
E547411
|
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: Kampen | Statement: [Gamle Oslo, containsNeighbourhood, Kampen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampen Context triple: [Gamle Oslo, containsNeighbourhood, Kampen]
-
A.
Kampen
Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
-
B.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
C.
Strijen
Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
-
D.
Strijdom
Strijdom is a surname most notably associated with J. G. Strijdom, a former Prime Minister of South Africa and prominent National Party politician.
-
E.
Warji
Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
- 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: Kampen Triple: [Gamle Oslo, containsNeighbourhood, Kampen]
Generated description
Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kampen Target entity description: Kampen is a historic residential neighborhood in Oslo, Norway, known for its wooden houses, hillside location, and views over the city.
-
A.
Kampen
Kampen is a historic Dutch city known for its well-preserved medieval center and riverside location in the province of Overijssel.
-
B.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
C.
Strijen
Strijen is a small town and former municipality located on the Hoeksche Waard island in the Dutch province of South Holland.
-
D.
Strijdom
Strijdom is a surname most notably associated with J. G. Strijdom, a former Prime Minister of South Africa and prominent National Party politician.
-
E.
Warji
Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5585788190821b8da40259e0e7 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09820f5c08190811e848eb44ce5b9 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c0990bf38081908c09c5dfe660c35b |
completed | March 23, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099b4bc4481909e7cf6886e5ccbea |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 22, 2026, 3:51 p.m.