Triple

T5697706
Position Surface form Disambiguated ID Type / Status
Subject Västerhaninge E125579 entity
Predicate partOf P40 FINISHED
Object Haninge urban area E21897 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: Haninge urban area | Statement: [Västerhaninge, partOf, Haninge urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haninge urban area
Context triple: [Västerhaninge, partOf, Haninge urban area]
  • A. Haninge Municipality chosen
    Haninge Municipality is a local government area in east-central Sweden that forms part of the greater Stockholm metropolitan region.
  • B. 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.
  • C. Neuenheim district
    The Neuenheim district is a residential and academic neighborhood of Heidelberg, Germany, located across the Neckar River from the historic old town and known for its proximity to the university and research institutes.
  • D. 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.
  • E. Ludwigsfelde
    Ludwigsfelde is a town in the German state of Brandenburg, located just south of Berlin and known for its industrial history and automotive manufacturing.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240d6c0c8190bf970c7652fd9573 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07ddd0f248190a796055212284542 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:45 p.m.