Triple

T7462753
Position Surface form Disambiguated ID Type / Status
Subject Tierp Municipality E176291 entity
Predicate hasLocality P7943 FINISHED
Object Mehedeby
Mehedeby is a small locality in Uppsala County, Sweden, situated within Tierp Municipality.
 E666356 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: Mehedeby | Statement: [Tierp Municipality, hasLocality, Mehedeby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mehedeby
Context triple: [Tierp Municipality, hasLocality, Mehedeby]
  • A. Eiderstedt
    Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
  • B. Hodenhagen
    Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
  • C. Melchow
    Melchow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • E. Bockum
    Bockum is a residential district of the German city of Krefeld, known for its green spaces and affluent neighborhoods.
  • 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: Mehedeby
Triple: [Tierp Municipality, hasLocality, Mehedeby]
Generated description
Mehedeby is a small locality in Uppsala County, Sweden, situated within Tierp Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mehedeby
Target entity description: Mehedeby is a small locality in Uppsala County, Sweden, situated within Tierp Municipality.
  • A. Eiderstedt
    Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
  • B. Hodenhagen
    Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
  • C. Melchow
    Melchow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • E. Bockum
    Bockum is a residential district of the German city of Krefeld, known for its green spaces and affluent neighborhoods.
  • 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.