Triple

T17174232
Position Surface form Disambiguated ID Type / Status
Subject Rheden E416816 entity
Predicate hasSeat P3522 FINISHED
Object De Steeg E1032009 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: De Steeg | Statement: [Rheden, hasSeat, De Steeg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Steeg
Context triple: [Rheden, hasSeat, De Steeg]
  • A. De Steeg chosen
    De Steeg is a small village in the Dutch province of Gelderland, known for its historic estates and wooded surroundings near the city of Arnhem.
  • B. De Struyten
    De Struyten is a neighborhood within the Dutch coastal town and former municipality of Hellevoetsluis in South Holland.
  • C. Struycken
    Struycken is a Dutch surname most notably borne by actor Carel Struycken, known for his distinctive tall stature and roles in film and television.
  • D. Vriezekoop
    Vriezekoop is a small village in the Dutch province of South Holland, known for its rural character and location along the Westeinderplassen near Leimuiden.
  • E. Zevenlinden
    Zevenlinden is a small residential area or neighborhood within the municipality of Baarn in the Netherlands.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0c329081909f118bd4b7be8653 completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.