Triple
T16027242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vågsøy |
E388746
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Raudeberg
Raudeberg is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
|
E1190530
|
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: Raudeberg | Statement: [Vågsøy, hasVillage, Raudeberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raudeberg Context triple: [Vågsøy, hasVillage, Raudeberg]
-
A.
Randaberg
Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
-
B.
Ramsholt
Ramsholt is a small rural village in Suffolk, England, known for its riverside setting on the River Deben and historic parish church.
-
C.
Radeburg
Radeburg is a small town in the German state of Saxony, situated north of Dresden and known for its historic center and surrounding rural landscape.
-
D.
Ravensberg
Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
-
E.
Lokstedt
Lokstedt is a district in the Eimsbüttel borough of Hamburg, Germany, known for its residential character and the presence of major broadcasting facilities.
- 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: Raudeberg Triple: [Vågsøy, hasVillage, Raudeberg]
Generated description
Raudeberg is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raudeberg Target entity description: Raudeberg is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
-
A.
Randaberg
Randaberg is a coastal municipality in Rogaland county, Norway, situated just north of the city of Stavanger and known for its agriculture and scenic shoreline.
-
B.
Ramsholt
Ramsholt is a small rural village in Suffolk, England, known for its riverside setting on the River Deben and historic parish church.
-
C.
Radeburg
Radeburg is a small town in the German state of Saxony, situated north of Dresden and known for its historic center and surrounding rural landscape.
-
D.
Ravensberg
Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
-
E.
Lokstedt
Lokstedt is a district in the Eimsbüttel borough of Hamburg, Germany, known for its residential character and the presence of major broadcasting facilities.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18328707c8190b9a444c78faaaa04 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc813208819088519396fa5298a6 |
completed | May 10, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdced694c8190a196ae36e5d6a99e |
completed | May 10, 2026, 1:18 a.m. |
Created at: April 10, 2026, 4:56 a.m.