Triple
T6196053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Østensjø |
E138510
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
|
E575463
|
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: Hellerud | Statement: [Østensjø, hasNeighbourhood, Hellerud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellerud Context triple: [Østensjø, hasNeighbourhood, Hellerud]
-
A.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
B.
Hedlund
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
-
C.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
D.
Haraldsen
Haraldsen is a Norwegian surname most notably borne by Queen Sonja of Norway before her marriage into the royal family.
-
E.
Hodal
Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
- 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: Hellerud Triple: [Østensjø, hasNeighbourhood, Hellerud]
Generated description
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hellerud Target entity description: Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
-
A.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
B.
Hedlund
Hedlund is a surname most notably associated with American actor Garrett Hedlund, known for roles in films like "Tron: Legacy" and "Friday Night Lights."
-
C.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
D.
Haraldsen
Haraldsen is a Norwegian surname most notably borne by Queen Sonja of Norway before her marriage into the royal family.
-
E.
Hodal
Hodal is a town in the Indian state of Haryana that forms part of the culturally significant Braj region associated with the legends of Lord Krishna.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0624571508190bd273b4a051fbe41 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f234ffc8190a6e8166e2ac554a8 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1e32429f48190bc18f4d78f3c79e8 |
completed | March 24, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e4844f848190bf67d916851514bc |
completed | March 24, 2026, 1:10 a.m. |
Created at: March 22, 2026, 4:20 p.m.