Triple
T5916347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolph Tidemand |
E131589
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Christiania, Norway
Christiania, Norway was the former name of Oslo, the capital and largest city of Norway.
|
E557412
|
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: Christiania, Norway | Statement: [Adolph Tidemand, placeOfDeath, Christiania, Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christiania, Norway Context triple: [Adolph Tidemand, placeOfDeath, Christiania, Norway]
-
A.
Rosendal, Norway
Rosendal, Norway is a small village in Kvinnherad municipality in Vestland county, known for its dramatic fjord landscape and the historic Barony Rosendal manor.
-
B.
Kristiansand
Kristiansand is a coastal city in southern Norway known for its harbor, beaches, and role as a regional cultural and economic center.
-
C.
Folkestad, Norway
Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
-
D.
Horten, Norway
Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
-
E.
Stavanger
Stavanger is a coastal city in southwestern Norway known for its oil industry hub status, historic wooden houses, and proximity to natural attractions like the Lysefjord and Preikestolen.
- 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: Christiania, Norway Triple: [Adolph Tidemand, placeOfDeath, Christiania, Norway]
Generated description
Christiania, Norway was the former name of Oslo, the capital and largest city of Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christiania, Norway Target entity description: Christiania, Norway was the former name of Oslo, the capital and largest city of Norway.
-
A.
Rosendal, Norway
Rosendal, Norway is a small village in Kvinnherad municipality in Vestland county, known for its dramatic fjord landscape and the historic Barony Rosendal manor.
-
B.
Kristiansand
Kristiansand is a coastal city in southern Norway known for its harbor, beaches, and role as a regional cultural and economic center.
-
C.
Folkestad, Norway
Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
-
D.
Horten, Norway
Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
-
E.
Stavanger
Stavanger is a coastal city in southwestern Norway known for its oil industry hub status, historic wooden houses, and proximity to natural attractions like the Lysefjord and Preikestolen.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bcea9c8190a34dc03857e3b80b |
completed | March 22, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c02c24cc8190a98d24f7445f59b7 |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c19665b08190ab3c66b7c6c33f61 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4576824819080ced71df8fdda6c |
completed | March 23, 2026, 4:40 a.m. |
Created at: March 22, 2026, 3:59 p.m.