Triple

T22939719
Position Surface form Disambiguated ID Type / Status
Subject Ibbenbüren E569686 entity
Predicate hasSubdivision P747 FINISHED
Object Alstedde 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: Alstedde | Statement: [Ibbenbüren, hasSubdivision, Alstedde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alstedde
Context triple: [Ibbenbüren, hasSubdivision, Alstedde]
  • A. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • B. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • C. Werthhoven
    Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Walstedde chosen
    Walstedde is a village and district within the town of Drensteinfurt in North Rhine-Westphalia, Germany.
  • E. Steggerda
    Steggerda is a small village in the municipality of Weststellingwerf in the province of Friesland in the northern Netherlands.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813844b88190b05d3829b0c423c4 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.