Triple

T9814774
Position Surface form Disambiguated ID Type / Status
Subject Ingelheim am Rhein E238373 entity
Predicate hasPart P35 FINISHED
Object Heidenfahrt
Heidenfahrt is a small district of the town Ingelheim am Rhein in Rhineland-Palatinate, Germany, situated along the Rhine River.
 E823566 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: Heidenfahrt | Statement: [Ingelheim am Rhein, hasPart, Heidenfahrt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heidenfahrt
Context triple: [Ingelheim am Rhein, hasPart, Heidenfahrt]
  • A. Die Harzreise
    Die Harzreise is a humorous and lyrical travelogue by Heinrich Heine that recounts his journey through Germany’s Harz Mountains while blending personal reflection, satire, and Romantic landscape description.
  • B. Wegmarken
    Wegmarken is a collection of Martin Heidegger’s later philosophical writings that mark key stages in the development of his thought.
  • C. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, Germany.
  • D. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • E. Rihla
    Rihla is the famous travelogue of the 14th-century Moroccan explorer Ibn Battuta, chronicling his extensive journeys across the Islamic world and beyond.
  • 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: Heidenfahrt
Triple: [Ingelheim am Rhein, hasPart, Heidenfahrt]
Generated description
Heidenfahrt is a small district of the town Ingelheim am Rhein in Rhineland-Palatinate, Germany, situated along the Rhine River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heidenfahrt
Target entity description: Heidenfahrt is a small district of the town Ingelheim am Rhein in Rhineland-Palatinate, Germany, situated along the Rhine River.
  • A. Die Harzreise
    Die Harzreise is a humorous and lyrical travelogue by Heinrich Heine that recounts his journey through Germany’s Harz Mountains while blending personal reflection, satire, and Romantic landscape description.
  • B. Wegmarken
    Wegmarken is a collection of Martin Heidegger’s later philosophical writings that mark key stages in the development of his thought.
  • C. Ehlhalten
    Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, Germany.
  • D. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • E. Rihla
    Rihla is the famous travelogue of the 14th-century Moroccan explorer Ibn Battuta, chronicling his extensive journeys across the Islamic world and beyond.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f19660819083e3f15780352052 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc67db68819093217c9a74e72fbf completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1ccf59c68819082b4aa37e06d2aaf completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0d945d48190b56b7fd2ce568a13 completed April 5, 2026, 3:02 a.m.
Created at: March 30, 2026, 8:30 p.m.