Triple

T12566904
Position Surface form Disambiguated ID Type / Status
Subject Province of Westphalia E295497 entity
Predicate containsSettlement P847 FINISHED
Object Vreden E604600 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: Vreden | Statement: [Province of Westphalia, containsSettlement, Vreden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vreden
Context triple: [Province of Westphalia, containsSettlement, Vreden]
  • A. Vreden chosen
    Vreden is a small German town in the western Münsterland region of North Rhine-Westphalia, near the Dutch border.
  • B. the Peaceful
    The Peaceful is the honorific epithet of Edgar, a 10th-century king of England remembered for his stable and harmonious reign.
  • C. Troost
    Troost is a German surname most notably associated with Paul Troost, an influential early 20th-century architect.
  • D. Friedensstadt
    Friedensstadt is a German city historically renowned as a "City of Peace" for its central role in the Peace of Westphalia that ended the Thirty Years' War.
  • E. 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.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655914f908190afbebbec3cb57e73 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.