Triple

T9561750
Position Surface form Disambiguated ID Type / Status
Subject Montigny-le-Bretonneux E230689 entity
Predicate hasTwinTown P919 FINISHED
Object Wittlich E808636 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: Wittlich | Statement: [Montigny-le-Bretonneux, hasTwinTown, Wittlich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wittlich
Context triple: [Montigny-le-Bretonneux, hasTwinTown, Wittlich]
  • A. Wittlich chosen
    Wittlich is a small town in the Rhineland-Palatinate region of western Germany, known for its wine production and historic old town.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Waldeck-Frankenberg
    Waldeck-Frankenberg is a rural district in northern Hesse, Germany, known for its scenic landscapes, forests, and small historic towns.
  • D. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
  • E. Haslach
    Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994d31e08190b139f5ad10d8ea31 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f60aa508190b3966f4b917c41b5 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:03 p.m.