Triple

T13523513
Position Surface form Disambiguated ID Type / Status
Subject Hornsberg E322959 entity
Predicate adjacentTo P224 FINISHED
Object Stadshagen 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: Stadshagen | Statement: [Hornsberg, adjacentTo, Stadshagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadshagen
Context triple: [Hornsberg, adjacentTo, Stadshagen]
  • A. Stadshagen chosen
    Stadshagen is a residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • B. Schagen
    Schagen is a historic market town and municipality in the province of North Holland in the Netherlands, known for its traditional West Frisian culture and regional role as a local center.
  • C. Sassenheim
    Sassenheim is a town in the Dutch province of South Holland, known historically for its bulb-growing industry and location within the Duin- en Bollenstreek (Dune and Bulb Region).
  • D. Stadthagen
    Stadthagen is a historic town in Lower Saxony, Germany, known for its Renaissance architecture and role as an administrative and cultural center of the surrounding region.
  • E. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa535cc81908d0018fef81a2848 completed April 12, 2026, 2:43 p.m.
Created at: April 9, 2026, 9:44 p.m.