Triple

T21285026
Position Surface form Disambiguated ID Type / Status
Subject Alblasserwaard E524632 entity
Predicate contains P35 FINISHED
Object Langerak 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: Langerak | Statement: [Alblasserwaard, contains, Langerak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langerak
Context triple: [Alblasserwaard, contains, Langerak]
  • A. Langerak chosen
    Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
  • B. Staaken
    Staaken is a locality in western Berlin, Germany, known for its residential areas and historical role as part of the Spandau district near the former inner-German border.
  • C. Lingewaal
    Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
  • D. Kortenberg
    Kortenberg is a municipality in the Flemish Brabant province of Belgium, located between Brussels and Leuven and known for its residential character and green surroundings.
  • E. Elingaard
    Elingaard is a historic estate and former manor located in the municipality of Rygge in southeastern Norway.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d658e08190ad2f267123d53ede completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.