Triple

T942223
Position Surface form Disambiguated ID Type / Status
Subject Sundbyberg Municipality E20330 entity
Predicate hasUrbanArea P316 FINISHED
Object Rissne
Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
 E159336 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: Rissne | Statement: [Sundbyberg Municipality, hasUrbanArea, Rissne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rissne
Context triple: [Sundbyberg Municipality, hasUrbanArea, Rissne]
  • A. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • B. Siul River
    The Siul River is a lesser-known river in the northern Indian subcontinent that feeds into the Ravi River within the Indus River basin.
  • C. Ognon River
    The Ognon River is a waterway in eastern France that flows through the Bourgogne-Franche-Comté region before joining the Saône River.
  • D. Min River
    The Min River is a significant river in southwestern China that flows through Sichuan Province and plays a key role in the region’s ecology, agriculture, and water resources.
  • E. Sesia
    The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po 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: Rissne
Triple: [Sundbyberg Municipality, hasUrbanArea, Rissne]
Generated description
Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rissne
Target entity description: Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • A. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • B. Siul River
    The Siul River is a lesser-known river in the northern Indian subcontinent that feeds into the Ravi River within the Indus River basin.
  • C. Ognon River
    The Ognon River is a waterway in eastern France that flows through the Bourgogne-Franche-Comté region before joining the Saône River.
  • D. Min River
    The Min River is a significant river in southwestern China that flows through Sichuan Province and plays a key role in the region’s ecology, agriculture, and water resources.
  • E. Sesia
    The Sesia is a river in northwestern Italy that flows through the Piedmont region before joining the Po 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddfeb918819083f948183aaaeb09 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acde91a74c81908fff97d638f22829 completed March 8, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69acded2e6a48190af7f135a0a4d8588 completed March 8, 2026, 2:28 a.m.
Created at: March 1, 2026, 7:40 p.m.