Triple

T12566902
Position Surface form Disambiguated ID Type / Status
Subject Province of Westphalia E295497 entity
Predicate containsSettlement P847 FINISHED
Object Rhede E604601 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: Rhede | Statement: [Province of Westphalia, containsSettlement, Rhede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhede
Context triple: [Province of Westphalia, containsSettlement, Rhede]
  • A. Rhede chosen
    Rhede is a small town in the district of Borken in North Rhine-Westphalia, western Germany, known for its historic center and proximity to the Dutch border.
  • B. Raalte
    Raalte is a town and municipality in the Dutch province of Overijssel, known for its agricultural surroundings and regional festivals.
  • C. Lügde
    Lügde is a small historic town in North Rhine-Westphalia, Germany, known for its traditional Easter customs and scenic location near the Weser Uplands.
  • D. Rinkerode
    Rinkerode is a village in North Rhine-Westphalia, Germany, known as a district of the town of Drensteinfurt in the Münster region.
  • E. Rødby
    Rødby is a small town on the Danish island of Lolland, known historically as a ferry port linking Denmark and Germany across the Baltic Sea.
  • 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.