Triple

T11068788
Position Surface form Disambiguated ID Type / Status
Subject Kempen E261690 entity
Predicate hasUrbanCenters P11388 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: [Kempen, hasUrbanCenters, Lommel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lommel
Context triple: [Kempen, hasUrbanCenters, 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. Himling
    Himling is a small island off the northwestern coast of Middle-earth in J.R.R. Tolkien’s legendarium, representing the last visible remnant of the ancient hill Himring after the cataclysmic changes of the First Age.
  • D. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • E. De Haas
    De Haas is a surname of Dutch origin, often associated with individuals and families in the Netherlands and abroad.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8b2d6e881909eeddf1e6427ad5c completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.