Triple
T7462749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tierp Municipality |
E176291
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object |
Skärplinge
Skärplinge is a small locality in Uppsala County, Sweden, known for its rural character and role as a local service center within Tierp Municipality.
|
E666352
|
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: Skärplinge | Statement: [Tierp Municipality, hasLocality, Skärplinge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skärplinge Context triple: [Tierp Municipality, hasLocality, Skärplinge]
-
A.
Smögen
Smögen is a picturesque fishing village and popular seaside resort on Sweden’s west coast, known for its colorful wooden houses, lively harbor, and scenic granite cliffs.
-
B.
Skanstull
Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
-
C.
Kräsuli
Kräsuli is a small Estonian island that forms part of Viimsi Parish in northern Estonia.
-
D.
Drongen
Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
-
E.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
- 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: Skärplinge Triple: [Tierp Municipality, hasLocality, Skärplinge]
Generated description
Skärplinge is a small locality in Uppsala County, Sweden, known for its rural character and role as a local service center within Tierp Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skärplinge Target entity description: Skärplinge is a small locality in Uppsala County, Sweden, known for its rural character and role as a local service center within Tierp Municipality.
-
A.
Smögen
Smögen is a picturesque fishing village and popular seaside resort on Sweden’s west coast, known for its colorful wooden houses, lively harbor, and scenic granite cliffs.
-
B.
Skanstull
Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
-
C.
Kräsuli
Kräsuli is a small Estonian island that forms part of Viimsi Parish in northern Estonia.
-
D.
Drongen
Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
-
E.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
- 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83464fc48819086f206f4d6b840ab |
completed | March 28, 2026, 8:04 p.m. |
| NEDg | Description generation | batch_69c8355f75908190ae3716f9dbff27ef |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83621b32c8190bd4b289b5f9f1764 |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:39 p.m.