Triple

T16110260
Position Surface form Disambiguated ID Type / Status
Subject Hammarby Sjöstad E390853 entity
Predicate locatedInRegion P40 FINISHED
Object Söderort E378584 NE FINISHED

How this triple was built (2 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: Söderort | Statement: [Hammarby Sjöstad, locatedInRegion, Söderort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Söderort
Context triple: [Hammarby Sjöstad, locatedInRegion, Söderort]
  • A. Söderort chosen
    Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
  • B. Söderhamn
    Söderhamn is a coastal town in east-central Sweden known for its historical wooden architecture and role as the administrative and commercial center of the surrounding region.
  • C. Västerort
    Västerort is the western suburban part of Stockholm, Sweden, consisting largely of residential districts and green areas outside the city center.
  • D. Sandviken
    Sandviken is an industrial town in central Sweden, best known as the historic home of the steel company Sandvik.
  • E. Oskarshamn
    Oskarshamn is a coastal town in southeastern Sweden known for its Baltic Sea harbor and proximity to the island of Gotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016665c0819081aa7a44b1d08183 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9849a08190a575f19e816e6df2 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5 a.m.