Triple
T13614466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bygland |
E325274
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Bygding
A Bygding is a resident or native of the Norwegian municipality of Bygland in Agder county.
|
E1051199
|
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: Bygding | Statement: [Bygland, hasDemonym, Bygding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bygding Context triple: [Bygland, hasDemonym, Bygding]
-
A.
Boende
Boende is a town in the Democratic Republic of the Congo that serves as an important local center of trade and administration in the Tshuapa Province.
-
B.
The Building
The Building is a short-lived 1993 American sitcom created by and starring Bonnie Hunt, known for its improvisational style and ensemble cast of Chicago Second City alumni.
-
C.
House
House is a critically acclaimed American medical drama television series centered on the brilliant but misanthropic diagnostician Dr. Gregory House and his team as they solve complex medical cases.
-
D.
House
House was a celebrated 1993 public sculpture by British artist Rachel Whiteread, consisting of a concrete cast of the interior of a Victorian terraced house in East London.
-
E.
House
House is a common English surname borne by various notable individuals, including the American diplomat and presidential advisor Edward M. House.
- 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: Bygding Triple: [Bygland, hasDemonym, Bygding]
Generated description
A Bygding is a resident or native of the Norwegian municipality of Bygland in Agder county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bygding Target entity description: A Bygding is a resident or native of the Norwegian municipality of Bygland in Agder county.
-
A.
Boende
Boende is a town in the Democratic Republic of the Congo that serves as an important local center of trade and administration in the Tshuapa Province.
-
B.
The Building
The Building is a short-lived 1993 American sitcom created by and starring Bonnie Hunt, known for its improvisational style and ensemble cast of Chicago Second City alumni.
-
C.
House
House is a critically acclaimed American medical drama television series centered on the brilliant but misanthropic diagnostician Dr. Gregory House and his team as they solve complex medical cases.
-
D.
House
House was a celebrated 1993 public sculpture by British artist Rachel Whiteread, consisting of a concrete cast of the interior of a Victorian terraced house in East London.
-
E.
House
House is a common English surname borne by various notable individuals, including the American diplomat and presidential advisor Edward M. House.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9cbc388190972e949324144d2f |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78058d4c88190be75e0a38cdc20da |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:50 p.m.