Triple

T21838410
Position Surface form Disambiguated ID Type / Status
Subject Haninge Anchors HC E539181 entity
Predicate basedIn P40 FINISHED
Object Haninge 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: Haninge | Statement: [Haninge Anchors HC, basedIn, Haninge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haninge
Context triple: [Haninge Anchors HC, basedIn, Haninge]
  • A. Haninge Centrum
    Haninge Centrum is a major shopping mall and commercial hub located in the Handen district of Haninge Municipality in the Stockholm area of Sweden.
  • B. Adlershof
    Adlershof is a district in Berlin, Germany, known as a major science, technology, and media hub featuring research institutes, universities, and high-tech companies.
  • C. Stadelhofen
    Stadelhofen is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • D. Velbert
    Velbert is a German city in North Rhine-Westphalia known for its metal and lock manufacturing industry and its location between Düsseldorf, Essen, and Wuppertal.
  • E. Haninge Municipality chosen
    Haninge Municipality is a local government area in east-central Sweden that forms part of the greater Stockholm metropolitan region.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a9a36881909eb917f12d061ba9 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.