Triple

T21002516
Position Surface form Disambiguated ID Type / Status
Subject Hallunda district E517329 entity
Predicate hasShoppingCentre P4285 FINISHED
Object Hallunda centrum NE NERFINISHED

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: Hallunda centrum | Statement: [Hallunda district, hasShoppingCentre, Hallunda centrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hallunda centrum
Context triple: [Hallunda district, hasShoppingCentre, Hallunda centrum]
  • A. Hallunda chosen
    Hallunda is a residential suburban district in the southern Stockholm region of Sweden, known for its multicultural population and location within Botkyrka Municipality.
  • B. Hallen
    Hallen is a small village in South Gloucestershire, England, situated near Bristol and known for its rural character and proximity to major transport routes.
  • C. Hallonbergen
    Hallonbergen is a residential district and metro-served suburb in the Stockholm urban area, known for its 1960s–70s apartment blocks and multicultural population.
  • D. Centrum
    Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
  • E. Centrum
    Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc38b8688190860fba1b58e1b3e6 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.