Triple
T155056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Labour Party |
E3161
|
entity |
| Predicate | foundedIn |
P41
|
FINISHED |
| Object |
Arendal
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
|
E22542
|
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: Arendal | Statement: [Norwegian Labour Party, foundedIn, Arendal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arendal Context triple: [Norwegian Labour Party, foundedIn, Arendal]
-
A.
Copenhagen
Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
-
B.
Lillehammer
Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
-
C.
Oslo
Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
-
D.
Furnes (Veurne)
Furnes (Veurne) is a historic town in West Flanders, Belgium, known for its well-preserved medieval architecture and role as a regional cultural center.
-
E.
Venice of the North
Venice of the North is a nickname commonly given to St. Petersburg, Russia, highlighting its extensive network of canals, rivers, and elegant bridges reminiscent of Venice.
- 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: Arendal Triple: [Norwegian Labour Party, foundedIn, Arendal]
Generated description
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arendal Target entity description: Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
A.
Copenhagen
Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
-
B.
Lillehammer
Lillehammer is a Norwegian town in the Gudbrandsdalen valley, best known internationally for staging the 1994 Winter Olympics.
-
C.
Oslo
Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
-
D.
Furnes (Veurne)
Furnes (Veurne) is a historic town in West Flanders, Belgium, known for its well-preserved medieval architecture and role as a regional cultural center.
-
E.
Venice of the North
Venice of the North is a nickname commonly given to St. Petersburg, Russia, highlighting its extensive network of canals, rivers, and elegant bridges reminiscent of Venice.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2582eb6408190beb38213c7d7d968 |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2f0b399d0819088332903146ddf94 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NEDg | Description generation | batch_69a2f1617d1881908010a173098ad8a8 |
completed | Feb. 28, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2f1cf22f48190a7cc60661a61db4a |
completed | Feb. 28, 2026, 1:46 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.