Triple
T22219726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Västervik Municipality |
E549176
|
entity |
| Predicate | includesLocality |
P45140
|
FINISHED |
| Object |
Gamleby
Gamleby is a small historic locality in southeastern Sweden known for its traditional wooden architecture and scenic coastal surroundings.
|
E1525160
|
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: Gamleby | Statement: [Västervik Municipality, includesLocality, Gamleby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamleby Context triple: [Västervik Municipality, includesLocality, Gamleby]
-
A.
Gamlebyen
Gamlebyen is the historic Old Town area of Oslo, known as the city's medieval core with archaeological sites, ruins, and preserved heritage buildings.
-
B.
Skegby
Skegby is a village and former mining community in Nottinghamshire, England, situated near the town of Sutton-in-Ashfield.
-
C.
Fulletby
Fulletby is a small rural village in Lincolnshire, England, situated in the scenic Lincolnshire Wolds.
-
D.
Vestby
Vestby is a municipality in Viken county in southeastern Norway, known for its coastal location along the Oslofjord and proximity to Oslo.
-
E.
Egby
Egby is a small locality on the island of Öland in southeastern Sweden, situated within Borgholm Municipality and known for its rural coastal setting.
- 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: Gamleby Triple: [Västervik Municipality, includesLocality, Gamleby]
Generated description
Gamleby is a small historic locality in southeastern Sweden known for its traditional wooden architecture and scenic coastal surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gamleby Target entity description: Gamleby is a small historic locality in southeastern Sweden known for its traditional wooden architecture and scenic coastal surroundings.
-
A.
Gamlebyen
Gamlebyen is the historic Old Town area of Oslo, known as the city's medieval core with archaeological sites, ruins, and preserved heritage buildings.
-
B.
Skegby
Skegby is a village and former mining community in Nottinghamshire, England, situated near the town of Sutton-in-Ashfield.
-
C.
Fulletby
Fulletby is a small rural village in Lincolnshire, England, situated in the scenic Lincolnshire Wolds.
-
D.
Vestby
Vestby is a municipality in Viken county in southeastern Norway, known for its coastal location along the Oslofjord and proximity to Oslo.
-
E.
Egby
Egby is a small locality on the island of Öland in southeastern Sweden, situated within Borgholm Municipality and known for its rural coastal setting.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8fa3d081908db0a0556b009d8f |
completed | April 28, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae6d90fc8190a6ac75ea0ec0f7f1 |
completed | May 18, 2026, 6:15 a.m. |
| NEDg | Description generation | batch_6a0aaf211d8481908e7c23e35e920e87 |
completed | May 18, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab01b5cd48190bf67942798e4db45 |
completed | May 18, 2026, 6:22 a.m. |
Created at: April 16, 2026, 8:37 p.m.