Triple

T6754643
Position Surface form Disambiguated ID Type / Status
Subject Limburg (Belgium) E154423 entity
Predicate contains P35 FINISHED
Object Lommel E185115 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: Lommel | Statement: [Limburg (Belgium), contains, Lommel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lommel
Context triple: [Limburg (Belgium), contains, Lommel]
  • A. Lommel chosen
    Lommel is a municipality and city in the Belgian province of Limburg, known for its extensive forests, sand dunes, and glass industry.
  • B. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • C. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • D. Rechenberg
    Rechenberg is a locality in Germany known historically as the place where the philosopher Ludwig Feuerbach died.
  • E. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f465388190858207ca4c48f18d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1e477481909e4fca040f4894f4 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.