Triple

T22657316
Position Surface form Disambiguated ID Type / Status
Subject De Kempen E559261 entity
Predicate hasSettlement P1068 FINISHED
Object Grobbendonk 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: Grobbendonk | Statement: [De Kempen, hasSettlement, Grobbendonk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grobbendonk
Context triple: [De Kempen, hasSettlement, Grobbendonk]
  • A. Grobbendonk chosen
    Grobbendonk is a municipality in the Belgian province of Antwerp, known as the birthplace of legendary cyclist Rik Van Looy.
  • B. Bottendorf
    Bottendorf is a locality in the German state of Thuringia that historically existed within the German Empire.
  • C. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • D. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • E. Leubringhen
    Leubringhen is a small commune in northern France, situated in the Pas-de-Calais department near the English Channel coast.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765c62bc8190b3fcde76d6b6dfb6 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.