Triple

T12080465
Position Surface form Disambiguated ID Type / Status
Subject Arrondissement of Sélestat-Erstein E287662 entity
Predicate contains P35 FINISHED
Object Marckolsheim
Marckolsheim is a commune in northeastern France, located in the Grand Est region near the Rhine River and the German border.
E1030603 NE FINISHED

How this triple was built (4 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: Marckolsheim | Statement: [Arrondissement of Sélestat-Erstein, contains, Marckolsheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marckolsheim
Context triple: [Arrondissement of Sélestat-Erstein, contains, Marckolsheim]
  • A. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • B. Willanzheim
    Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
  • C. Aumetz
    Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
  • D. Mülhausen
    Mülhausen is the German name for the city of Mulhouse, a historically industrial and culturally significant city in the Alsace region of present-day France.
  • E. Schiltigheim
    Schiltigheim is a suburban commune in northeastern France, located just north of Strasbourg and known historically for its brewing industry.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marckolsheim
Triple: [Arrondissement of Sélestat-Erstein, contains, Marckolsheim]
Generated description
Marckolsheim is a commune in northeastern France, located in the Grand Est region near the Rhine River and the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marckolsheim
Target entity description: Marckolsheim is a commune in northeastern France, located in the Grand Est region near the Rhine River and the German border.
  • A. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • B. Willanzheim
    Willanzheim is a small municipality in the Kitzingen district of Bavaria, Germany, known for its rural character and Franconian wine-growing tradition.
  • C. Aumetz
    Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
  • D. Mülhausen
    Mülhausen is the German name for the city of Mulhouse, a historically industrial and culturally significant city in the Alsace region of present-day France.
  • E. Schiltigheim
    Schiltigheim is a suburban commune in northeastern France, located just north of Strasbourg and known historically for its brewing industry.
  • F. None of above. chosen

Provenance (5 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904dc98a88190a5873f3fd8e1a0b2 completed April 10, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a114ccc81909bc428c40c01a461 completed May 3, 2026, 8:40 a.m.
NEDg Description generation batch_69f70b5dbcc4819081b5ba410e319eb7 completed May 3, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:48 p.m.