Triple

T18085202
Position Surface form Disambiguated ID Type / Status
Subject Steenwijkerland E432815 entity
Predicate containsSettlement P847 FINISHED
Object Oldemarkt 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: Oldemarkt | Statement: [Steenwijkerland, containsSettlement, Oldemarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldemarkt
Context triple: [Steenwijkerland, containsSettlement, Oldemarkt]
  • A. Oldemarkt chosen
    Oldemarkt is a village in the Dutch province of Overijssel, known for its traditional character and location within the municipality of Steenwijkerland.
  • B. Rochusmarkt
    Rochusmarkt is a traditional open-air market in Vienna known for its fresh produce, food stalls, and neighborhood atmosphere.
  • C. Rossmarkt
    Rossmarkt is a central public square in Frankfurt am Main known for its historical significance and role as a busy commercial and transit hub.
  • D. Linden-Markt
    Linden-Markt was the original name of Berlin’s historic Gendarmenmarkt square, now renowned for its grand architecture and cultural significance.
  • E. Ochsenmarkt
    Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.