Triple
T19198145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agdenes |
E470024
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Agdenesbygg
Agdenesbygg is the Norwegian demonym referring to inhabitants of the former municipality of Agdenes in Trøndelag county, Norway.
|
E1362333
|
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: Agdenesbygg | Statement: [Agdenes, hasDemonym, Agdenesbygg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agdenesbygg Context triple: [Agdenes, hasDemonym, Agdenesbygg]
-
A.
Bundsgaard
Bundsgaard is a Danish surname most notably associated with Jacob Bundsgaard, the mayor of Aarhus, Denmark.
-
B.
Gamle Bybro
Gamle Bybro is a historic 17th-century wooden bridge in Trondheim, Norway, famed for its distinctive red arches and views over the Nidelva River and the Bakklandet district.
-
C.
Byggvir
Byggvir is a minor Norse mythological figure associated with barley and brewing, known primarily from his brief appearance in the Eddic poem Lokasenna.
-
D.
Edsbyn
Edsbyn is a small town in Gävleborg County, Sweden, known for its bandy team and role as a local industrial and service center.
-
E.
Hobbemakade
Hobbemakade is a canal-side street in Amsterdam, Netherlands, known for running along the Boerenwetering canal near the Museumplein area.
- 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: Agdenesbygg Triple: [Agdenes, hasDemonym, Agdenesbygg]
Generated description
Agdenesbygg is the Norwegian demonym referring to inhabitants of the former municipality of Agdenes in Trøndelag county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agdenesbygg Target entity description: Agdenesbygg is the Norwegian demonym referring to inhabitants of the former municipality of Agdenes in Trøndelag county, Norway.
-
A.
Bundsgaard
Bundsgaard is a Danish surname most notably associated with Jacob Bundsgaard, the mayor of Aarhus, Denmark.
-
B.
Gamle Bybro
Gamle Bybro is a historic 17th-century wooden bridge in Trondheim, Norway, famed for its distinctive red arches and views over the Nidelva River and the Bakklandet district.
-
C.
Byggvir
Byggvir is a minor Norse mythological figure associated with barley and brewing, known primarily from his brief appearance in the Eddic poem Lokasenna.
-
D.
Edsbyn
Edsbyn is a small town in Gävleborg County, Sweden, known for its bandy team and role as a local industrial and service center.
-
E.
Hobbemakade
Hobbemakade is a canal-side street in Amsterdam, Netherlands, known for running along the Boerenwetering canal near the Museumplein area.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8c2805c8190be95a283c7db864f |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f948932c8190a4ce08178c00b251 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f9e1fb708190958c64fd38d32d04 |
completed | May 15, 2026, 10:48 a.m. |
Created at: April 10, 2026, 12:07 p.m.