Triple

T22413927
Position Surface form Disambiguated ID Type / Status
Subject Maasdriel E554062 entity
Predicate hasBorderWith P224 FINISHED
Object Lingewaal E542877 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: Lingewaal | Statement: [Maasdriel, hasBorderWith, Lingewaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lingewaal
Context triple: [Maasdriel, hasBorderWith, Lingewaal]
  • A. Lingewaal chosen
    Lingewaal was a former municipality in the Dutch province of Gelderland, known for encompassing several rural villages along the river Linge.
  • B. Lingewaard
    Lingewaard is a municipality in the Dutch province of Gelderland, situated in the Betuwe region between the cities of Arnhem and Nijmegen.
  • C. Elingaard
    Elingaard is a historic estate and former manor located in the municipality of Rygge in southeastern Norway.
  • D. Zwanenburg
    Zwanenburg is a village in North Holland, Netherlands, situated near Amsterdam and known as a suburban residential community within the Haarlemmermeer municipality.
  • E. Langerak
    Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15945486081908eb3a7b0441c0ef1 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c64c5d08190a8e762453874afb0 completed May 18, 2026, 12:56 p.m.
Created at: April 16, 2026, 8:46 p.m.