Triple

T14347746
Position Surface form Disambiguated ID Type / Status
Subject Eurométropole de Strasbourg E355770 entity
Predicate contains P35 FINISHED
Object Hœnheim E833818 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: Hœnheim | Statement: [Eurométropole de Strasbourg, contains, Hœnheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hœnheim
Context triple: [Eurométropole de Strasbourg, contains, Hœnheim]
  • A. Hœnheim chosen
    Hœnheim is a suburban commune in northeastern France, located near Strasbourg in the Bas-Rhin department of the Grand Est region.
  • B. Edigheim
    Edigheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • C. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • E. Viereth-Trunstadt
    Viereth-Trunstadt is a small municipality in the Upper Franconia region of Bavaria, Germany, situated along the Main River and known for its wine-growing and rural character.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a12ad08190a2f0dc5890ed5ce9 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.