Triple

T5266227
Position Surface form Disambiguated ID Type / Status
Subject Roslagsbanan E118941 entity
Predicate region P40 FINISHED
Object Roslagen
Roslagen is a coastal region in east-central Sweden known for its archipelago, traditional fishing villages, and proximity to Stockholm.
 E507457 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: Roslagen | Statement: [Roslagsbanan, region, Roslagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roslagen
Context triple: [Roslagsbanan, region, Roslagen]
  • A. Porsanger
    Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • D. Røros
    Røros is a historic Norwegian mining town and UNESCO World Heritage Site known for its well-preserved wooden buildings and copper mining heritage.
  • E. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • 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: Roslagen
Triple: [Roslagsbanan, region, Roslagen]
Generated description
Roslagen is a coastal region in east-central Sweden known for its archipelago, traditional fishing villages, and proximity to Stockholm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roslagen
Target entity description: Roslagen is a coastal region in east-central Sweden known for its archipelago, traditional fishing villages, and proximity to Stockholm.
  • A. Porsanger
    Porsanger is a large municipality in Troms og Finnmark county in northern Norway, known for its vast Arctic landscapes, Sámi culture, and the long Porsangerfjorden.
  • B. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • C. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • D. Røros
    Røros is a historic Norwegian mining town and UNESCO World Heritage Site known for its well-preserved wooden buildings and copper mining heritage.
  • E. Snåsa
    Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfabf9c819098f961243c31e508 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe8e5c948190a807a99bd35f710d completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff3029dc8190b4dc5e207a2bfa03 completed March 21, 2026, 8:27 p.m.
NED2 Entity disambiguation (via description) batch_69befffc0e388190a02624d4f466a2a9 completed March 21, 2026, 8:30 p.m.
Created at: March 20, 2026, 1:51 p.m.