Triple

T1280051
Position Surface form Disambiguated ID Type / Status
Subject Sollentuna Municipality E27302 entity
Predicate hasSettlement P1068 FINISHED
Object Tureberg
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
E199258 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: Tureberg | Statement: [Sollentuna Municipality, hasSettlement, Tureberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tureberg
Context triple: [Sollentuna Municipality, hasSettlement, Tureberg]
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • C. Triberg
    Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
  • D. Wittenau
    Wittenau is a locality in the Reinickendorf borough of Berlin, Germany, known primarily as a residential area with good transport connections.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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: Tureberg
Triple: [Sollentuna Municipality, hasSettlement, Tureberg]
Generated description
Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tureberg
Target entity description: Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • C. Triberg
    Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
  • D. Wittenau
    Wittenau is a locality in the Reinickendorf borough of Berlin, Germany, known primarily as a residential area with good transport connections.
  • E. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c094eb4881909a33061339f91190 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada95d71888190aa49a3011ea2a1bc completed March 8, 2026, 4:52 p.m.
NEDg Description generation batch_69adae972d1081909cd13e8220c3ccc6 completed March 8, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_69adaf9d042481909dbd54d9e04e444e completed March 8, 2026, 5:19 p.m.
Created at: March 1, 2026, 7:50 p.m.