Triple
T22683151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groruddalen |
E560834
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Haugenstua
Haugenstua is a residential neighborhood in the Groruddalen valley in Oslo, Norway, known for its apartment blocks, diverse population, and proximity to public transport.
|
E1577887
|
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: Haugenstua | Statement: [Groruddalen, hasNeighbourhood, Haugenstua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haugenstua Context triple: [Groruddalen, hasNeighbourhood, Haugenstua]
-
A.
Haugastøl
Haugastøl is a small Norwegian mountain settlement and transport hub in Hol, Buskerud, known as a gateway to the Hardangervidda plateau and surrounding peaks.
-
B.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
C.
Myklebostad
Myklebostad is a small village located on the island of Tjeldøya in northern Norway.
-
D.
Myklebostad
Myklebostad is a small village located in the former Nesset municipality in Møre og Romsdal county, Norway.
-
E.
Steinsdalen
Steinsdalen is a small Norwegian village that serves as the local hub of administration and services for the surrounding Osen municipality in Trøndelag county.
- 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: Haugenstua Triple: [Groruddalen, hasNeighbourhood, Haugenstua]
Generated description
Haugenstua is a residential neighborhood in the Groruddalen valley in Oslo, Norway, known for its apartment blocks, diverse population, and proximity to public transport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haugenstua Target entity description: Haugenstua is a residential neighborhood in the Groruddalen valley in Oslo, Norway, known for its apartment blocks, diverse population, and proximity to public transport.
-
A.
Haugastøl
Haugastøl is a small Norwegian mountain settlement and transport hub in Hol, Buskerud, known as a gateway to the Hardangervidda plateau and surrounding peaks.
-
B.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
C.
Myklebostad
Myklebostad is a small village located on the island of Tjeldøya in northern Norway.
-
D.
Myklebostad
Myklebostad is a small village located in the former Nesset municipality in Møre og Romsdal county, Norway.
-
E.
Steinsdalen
Steinsdalen is a small Norwegian village that serves as the local hub of administration and services for the surrounding Osen municipality in Trøndelag county.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f2a55b88190991c6a23cbc24c53 |
completed | May 19, 2026, 10:44 a.m. |
| NEDg | Description generation | batch_6a0c4075bc508190ae0dc8b61c24faa0 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c411702a48190ba2964ba221394d1 |
completed | May 19, 2026, 10:53 a.m. |
Created at: April 17, 2026, 3:12 p.m.