Triple
T18797028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendsyssel |
E459660
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Strandby
Strandby is a small coastal town in northern Denmark known for its fishing harbor and seaside setting in the Vendsyssel region.
|
E1342734
|
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: Strandby | Statement: [Vendsyssel, hasMajorTown, Strandby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strandby Context triple: [Vendsyssel, hasMajorTown, Strandby]
-
A.
Strandebarm
Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
-
B.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
-
C.
Stangebyen
Stangebyen is a village in Innlandet county, Norway, serving as the main local hub for services, commerce, and administration in the Stange area.
-
D.
Nordstrand
Nordstrand is a low-lying, dike-protected island off the coast of Schleswig-Holstein in northern Germany, known for its North Sea marshland landscape and traditional Frisian culture.
-
E.
Nordstrand
Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
- 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: Strandby Triple: [Vendsyssel, hasMajorTown, Strandby]
Generated description
Strandby is a small coastal town in northern Denmark known for its fishing harbor and seaside setting in the Vendsyssel region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strandby Target entity description: Strandby is a small coastal town in northern Denmark known for its fishing harbor and seaside setting in the Vendsyssel region.
-
A.
Strandebarm
Strandebarm is a small village in western Norway, situated along the Hardangerfjord in Kvam municipality in Vestland county.
-
B.
Stranda
Stranda is a village and municipality in western Norway known for its scenic fjord landscapes and winter sports opportunities.
-
C.
Stangebyen
Stangebyen is a village in Innlandet county, Norway, serving as the main local hub for services, commerce, and administration in the Stange area.
-
D.
Nordstrand
Nordstrand is a low-lying, dike-protected island off the coast of Schleswig-Holstein in northern Germany, known for its North Sea marshland landscape and traditional Frisian culture.
-
E.
Nordstrand
Nordstrand is a mainly residential borough in the southeastern part of Oslo, Norway, known for its hillside location overlooking the Oslofjord.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a020821881909749f6a1c6cd195b |
completed | April 20, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05472244488190be57a1bb7d1be5a1 |
completed | May 14, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a054859b270819081912c2110d30263 |
completed | May 14, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0548f1ed74819090775763f4976a1a |
completed | May 14, 2026, 4 a.m. |
Created at: April 10, 2026, 11:53 a.m.