Triple

T23006056
Position Surface form Disambiguated ID Type / Status
Subject municipality of Geertruidenberg E572771 entity
Predicate contains P35 FINISHED
Object Raamsdonksveer 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: Raamsdonksveer | Statement: [municipality of Geertruidenberg, contains, Raamsdonksveer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raamsdonksveer
Context triple: [municipality of Geertruidenberg, contains, Raamsdonksveer]
  • A. Raamsdonksveer chosen
    Raamsdonksveer is a town in the Dutch province of North Brabant, known historically as a local trading and ferry settlement along the River Donge.
  • B. Kuipersveer
    Kuipersveer is a small locality in the Dutch municipality of Binnenmaas in the province of South Holland.
  • C. Hoevenzavel
    Hoevenzavel is a residential neighborhood within the city of Genk in the Belgian province of Limburg.
  • D. Zwanenburgwal
    Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
  • E. Rijkevorsel
    Rijkevorsel is a municipality in the Antwerp province of Belgium, located in the historic Kempen (Campine) 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835706dc8190b3f9743c0f336bb2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.