Triple

T12307886
Position Surface form Disambiguated ID Type / Status
Subject Stadsholmen E293399 entity
Predicate surroundedBy P224 FINISHED
Object Strömmen
Strömmen is the central waterway in Stockholm, Sweden, connecting Lake Mälaren with the Baltic Sea and flowing around the city’s historic core.
E973193 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: Strömmen | Statement: [Stadsholmen, surroundedBy, Strömmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strömmen
Context triple: [Stadsholmen, surroundedBy, Strömmen]
  • A. Motala Ström
    Motala Ström is a river in Östergötland, Sweden, that drains Lake Vättern and flows eastward through several towns before reaching the Baltic Sea.
  • B. Strømmen
    Strømmen is a town in Lillestrøm municipality in Viken county, Norway, known for its shopping mall Strømmen Storsenter and its historical industrial and railway heritage.
  • C. Strömsbruk
    Strömsbruk is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • D. Kungälv
    Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
  • E. Hisingsbron
    Hisingsbron is a major vertical-lift bridge in Gothenburg, Sweden, connecting the mainland to the island of Hisingen across the Göta älv.
  • 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: Strömmen
Triple: [Stadsholmen, surroundedBy, Strömmen]
Generated description
Strömmen is the central waterway in Stockholm, Sweden, connecting Lake Mälaren with the Baltic Sea and flowing around the city’s historic core.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Strömmen
Target entity description: Strömmen is the central waterway in Stockholm, Sweden, connecting Lake Mälaren with the Baltic Sea and flowing around the city’s historic core.
  • A. Motala Ström
    Motala Ström is a river in Östergötland, Sweden, that drains Lake Vättern and flows eastward through several towns before reaching the Baltic Sea.
  • B. Strømmen
    Strømmen is a town in Lillestrøm municipality in Viken county, Norway, known for its shopping mall Strømmen Storsenter and its historical industrial and railway heritage.
  • C. Strömsbruk
    Strömsbruk is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • D. Kungälv
    Kungälv is a town in western Sweden known for the historic Bohus Fortress and its location near the Göta älv north of Gothenburg.
  • E. Hisingsbron
    Hisingsbron is a major vertical-lift bridge in Gothenburg, Sweden, connecting the mainland to the island of Hisingen across the Göta älv.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f01ace8819087f245b9216f4dc8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8243d48190baf25b2927de6c62 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5d746c8190b5b0edfc4832bc6c completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62041f2408190ad320fec5283abdd completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:53 p.m.