Triple

T20318016
Position Surface form Disambiguated ID Type / Status
Subject Junglinster E492132 entity
Predicate containsSettlement P847 FINISHED
Object Rodenbourg
Rodenbourg is a small village in central Luxembourg that forms part of the commune of Junglinster.
E1423647 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: Rodenbourg | Statement: [Junglinster, containsSettlement, Rodenbourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodenbourg
Context triple: [Junglinster, containsSettlement, Rodenbourg]
  • A. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • B. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • C. Rabenau
    Rabenau is a municipality in the German state of Hesse, known for its rural character and location within the Gießen region.
  • D. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • E. Gemmenich
    Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
  • 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: Rodenbourg
Triple: [Junglinster, containsSettlement, Rodenbourg]
Generated description
Rodenbourg is a small village in central Luxembourg that forms part of the commune of Junglinster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rodenbourg
Target entity description: Rodenbourg is a small village in central Luxembourg that forms part of the commune of Junglinster.
  • A. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • B. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • C. Rabenau
    Rabenau is a municipality in the German state of Hesse, known for its rural character and location within the Gießen region.
  • D. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • E. Gemmenich
    Gemmenich is a village in eastern Belgium near the borders with Germany and the Netherlands, known for its scenic countryside and proximity to the Vaalserberg tripoint.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67789d8108190ae2e134f4b0b0be5 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0861246f188190a0ffb84a61a7d8c1 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a08627316d48190ab6f2f2cedd9b1db completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a086317d0888190809268c3b8b95f6f completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:20 a.m.