Triple
T6350991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youngstorget |
E142868
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Arbeidergata
Arbeidergata is a street in central Oslo, Norway, located near the historic public square Youngstorget and surrounded by shops, offices, and cultural venues.
|
E589961
|
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: Arbeidergata | Statement: [Youngstorget, adjacentTo, Arbeidergata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbeidergata Context triple: [Youngstorget, adjacentTo, Arbeidergata]
-
A.
Hedmarksgata
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
B.
Møllergata
Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial areas.
-
C.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
D.
Bogstadveien
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
-
E.
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.
- 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: Arbeidergata Triple: [Youngstorget, adjacentTo, Arbeidergata]
Generated description
Arbeidergata is a street in central Oslo, Norway, located near the historic public square Youngstorget and surrounded by shops, offices, and cultural venues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arbeidergata Target entity description: Arbeidergata is a street in central Oslo, Norway, located near the historic public square Youngstorget and surrounded by shops, offices, and cultural venues.
-
A.
Hedmarksgata
Hedmarksgata is a street located in the Vålerenga neighborhood of Oslo, Norway.
-
B.
Møllergata
Møllergata is a central street in Oslo, Norway, known for its historic buildings and proximity to key political and commercial areas.
-
C.
Vålerenggata
Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
-
D.
Bogstadveien
Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
-
E.
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.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dc2790819084aaf7067dc25733 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6386784008190b0ac82804a4ee30e |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c639eabaf88190bf81112cde6e8e99 |
completed | March 27, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a8738ac8190af0bface4b18eea6 |
completed | March 27, 2026, 8:06 a.m. |
Created at: March 22, 2026, 4:31 p.m.