Triple
T5790634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamle Oslo |
E128382
|
entity |
| Predicate | containsNeighbourhood |
P4813
|
FINISHED |
| Object |
Etterstad
Etterstad is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and proximity to the city center.
|
E547412
|
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: Etterstad | Statement: [Gamle Oslo, containsNeighbourhood, Etterstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etterstad Context triple: [Gamle Oslo, containsNeighbourhood, Etterstad]
-
A.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
B.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
C.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
D.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
E.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
- 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: Etterstad Triple: [Gamle Oslo, containsNeighbourhood, Etterstad]
Generated description
Etterstad is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and proximity to the city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etterstad Target entity description: Etterstad is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green areas, and proximity to the city center.
-
A.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
B.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
C.
Verdal
Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
-
D.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
E.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
- 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.