Triple

T16110263
Position Surface form Disambiguated ID Type / Status
Subject Hammarby Sjöstad E390853 entity
Predicate locatedNear P294 FINISHED
Object Nacka E21416 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: Nacka | Statement: [Hammarby Sjöstad, locatedNear, Nacka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nacka
Context triple: [Hammarby Sjöstad, locatedNear, Nacka]
  • A. Nacka
    Nacka is a suburban municipality just east of central Stockholm in Sweden, known for its mix of urban development, coastal landscapes, and nature reserves.
  • B. Nacka Municipality chosen
    Nacka Municipality is a suburban and coastal municipality just east of central Stockholm, known for its mix of urban development, archipelago nature, and proximity to the Swedish capital.
  • C. Mangere
    Mangere is a suburb of Auckland, New Zealand, known for its large Pacific Islander communities and proximity to Auckland Airport.
  • D. Häggenås
    Häggenås is a small locality in Jämtland County, northern Sweden, situated within Östersund Municipality.
  • E. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • 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_69ffeba674788190a589104cf90f28d5 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.