Triple
T14672147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henning Larsen |
E344539
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Opsund
Opsund is a locality in Norway known as the birthplace of the renowned architect Henning Larsen.
|
E1138222
|
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: Opsund | Statement: [Henning Larsen, placeOfBirth, Opsund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opsund Context triple: [Henning Larsen, placeOfBirth, Opsund]
-
A.
Lørenskog
Lørenskog is a suburban municipality in Viken county, Norway, located just east of Oslo and known for its residential areas and commercial centers.
-
B.
Torshov
Torshov is a residential neighborhood in Oslo, Norway, known for its early 20th-century architecture, green spaces, and vibrant local culture.
-
C.
Sokna
Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
-
D.
Slemdal
Slemdal is a residential neighborhood in the Vestre Aker borough of Oslo, Norway, known for its green surroundings and affluent character.
-
E.
Sogndal
Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
- 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: Opsund Triple: [Henning Larsen, placeOfBirth, Opsund]
Generated description
Opsund is a locality in Norway known as the birthplace of the renowned architect Henning Larsen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opsund Target entity description: Opsund is a locality in Norway known as the birthplace of the renowned architect Henning Larsen.
-
A.
Lørenskog
Lørenskog is a suburban municipality in Viken county, Norway, located just east of Oslo and known for its residential areas and commercial centers.
-
B.
Torshov
Torshov is a residential neighborhood in Oslo, Norway, known for its early 20th-century architecture, green spaces, and vibrant local culture.
-
C.
Sokna
Sokna is an extinct Eastern Berber language formerly spoken around the oasis town of Sokna in central Libya.
-
D.
Slemdal
Slemdal is a residential neighborhood in the Vestre Aker borough of Oslo, Norway, known for its green surroundings and affluent character.
-
E.
Sogndal
Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cfd9d08190b5b95f6dc0a08537 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb99b6a108190ba389703bc123e17 |
completed | May 9, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba50cd3c81909c4c14c6a7510dd4 |
completed | May 9, 2026, 4:38 a.m. |
Created at: April 10, 2026, 1:27 a.m.