Triple

T15502969
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Mulhouse E379006 entity
Predicate contains P35 FINISHED
Object Kingersheim
Kingersheim is a commune in northeastern France’s Grand Est region, situated near the city of Mulhouse in the Haut-Rhin department.
 E1176967 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: Kingersheim | Statement: [arrondissement of Mulhouse, contains, Kingersheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kingersheim
Context triple: [arrondissement of Mulhouse, contains, Kingersheim]
  • A. Geinsheim
    Geinsheim is a village and local district of the town Neustadt an der Weinstraße in the German state of Rhineland-Palatinate.
  • B. Igersheim
    Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
  • C. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • D. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • E. Riedisheim
    Riedisheim is a commune in northeastern France’s Grand Est region, situated near the city of Mulhouse in the Haut-Rhin department.
  • 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: Kingersheim
Triple: [arrondissement of Mulhouse, contains, Kingersheim]
Generated description
Kingersheim is a commune in northeastern France’s Grand Est region, situated near the city of Mulhouse in the Haut-Rhin department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kingersheim
Target entity description: Kingersheim is a commune in northeastern France’s Grand Est region, situated near the city of Mulhouse in the Haut-Rhin department.
  • A. Geinsheim
    Geinsheim is a village and local district of the town Neustadt an der Weinstraße in the German state of Rhineland-Palatinate.
  • B. Igersheim
    Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
  • C. Ottmarsheim
    Ottmarsheim is a commune in northeastern France’s Alsace region, known for its historic Romanesque church and location along the Rhine.
  • D. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • E. Riedisheim
    Riedisheim is a commune in northeastern France’s Grand Est region, situated near the city of Mulhouse in the Haut-Rhin department.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcc5bb88190b8a9a81419a9a38b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90887ef48190b6148830803669dd completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff93804fe88190b9ec7f8010b09f70 completed May 9, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 3:54 a.m.