Triple

T22683145
Position Surface form Disambiguated ID Type / Status
Subject Groruddalen E560834 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Romsås
Romsås is a residential neighborhood in the Groruddalen valley of Oslo, Norway, known for its large housing estates, multicultural population, and proximity to forested recreational areas.
 E1549422 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: Romsås | Statement: [Groruddalen, hasNeighbourhood, Romsås]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Romsås
Context triple: [Groruddalen, hasNeighbourhood, Romsås]
  • A. Eskilstunaån
    Eskilstunaån is a river in central Sweden that drains Lake Hjälmaren and flows westward through the city of Eskilstuna toward Lake Mälaren.
  • B. Mölndalsån
    Mölndalsån is a river in western Sweden that flows through the city of Mölndal toward Gothenburg, historically important for local industry and milling.
  • C. Köpingsån
    Köpingsån is a river in central Sweden that flows through the town of Köping before emptying into Lake Mälaren.
  • D. Storås
    Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
  • E. Byälven
    Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
  • 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: Romsås
Triple: [Groruddalen, hasNeighbourhood, Romsås]
Generated description
Romsås is a residential neighborhood in the Groruddalen valley of Oslo, Norway, known for its large housing estates, multicultural population, and proximity to forested recreational areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Romsås
Target entity description: Romsås is a residential neighborhood in the Groruddalen valley of Oslo, Norway, known for its large housing estates, multicultural population, and proximity to forested recreational areas.
  • A. Eskilstunaån
    Eskilstunaån is a river in central Sweden that drains Lake Hjälmaren and flows westward through the city of Eskilstuna toward Lake Mälaren.
  • B. Mölndalsån
    Mölndalsån is a river in western Sweden that flows through the city of Mölndal toward Gothenburg, historically important for local industry and milling.
  • C. Köpingsån
    Köpingsån is a river in central Sweden that flows through the town of Köping before emptying into Lake Mälaren.
  • D. Storås
    Storås is a small village in Trøndelag county, Norway, known for its rural setting and local community within the former municipality of Meldal.
  • E. Byälven
    Byälven is a river in western Sweden that flows into Lake Vänern, contributing significantly to its water system.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f4db988190a651faf7f454c6c8 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b7551043c81908323a86af4db77ce completed May 18, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b764c2de88190bb1024206607d107 completed May 18, 2026, 8:27 p.m.
Created at: April 17, 2026, 3:12 p.m.