Triple
T6069671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtbyen, Trondheim |
E135247
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Nordre gate
Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
|
E567711
|
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: Nordre gate | Statement: [Midtbyen, Trondheim, contains, Nordre gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordre gate Context triple: [Midtbyen, Trondheim, contains, Nordre gate]
-
A.
Søndre gate
Søndre gate is a central street in Trondheim, Norway, known for its shops, cafes, and role as a main thoroughfare in the Midtbyen district.
-
B.
Hedmarksgata
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
C.
Toftes gate
Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
-
D.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
E.
Trondheimsveien
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
- 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: Nordre gate Triple: [Midtbyen, Trondheim, contains, Nordre gate]
Generated description
Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nordre gate Target entity description: Nordre gate is a central pedestrian shopping street in Trondheim, Norway, known for its stores, cafés, and vibrant urban life.
-
A.
Søndre gate
Søndre gate is a central street in Trondheim, Norway, known for its shops, cafes, and role as a main thoroughfare in the Midtbyen district.
-
B.
Hedmarksgata
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
C.
Toftes gate
Toftes gate is a notable street in the Grünerløkka district of Oslo, Norway, known for its mix of historic buildings, cafes, and urban neighborhood life.
-
D.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
E.
Trondheimsveien
Trondheimsveien is a major thoroughfare in Oslo, Norway, serving as an important traffic artery through the city and its northeastern districts.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0574157848190bb8e0972eb55a363 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12523e63c81909c24b27e13acfae4 |
completed | March 23, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c12618226c819084485478327aa643 |
completed | March 23, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1267845848190acb588f35781366c |
completed | March 23, 2026, 11:39 a.m. |
Created at: March 22, 2026, 4:10 p.m.