Triple

T3105841
Position Surface form Disambiguated ID Type / Status
Subject Agen E64826 entity
Predicate hasTwinTown P919 FINISHED
Object Dinslaken
Dinslaken is a town in western Germany’s North Rhine-Westphalia region, known for its industrial heritage and proximity to the Ruhr area.
E327959 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: Dinslaken | Statement: [Agen, hasTwinTown, Dinslaken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinslaken
Context triple: [Agen, hasTwinTown, Dinslaken]
  • A. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • B. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • C. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • D. Salzatal
    Salzatal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, known for its rural character and location along the Saale valley.
  • E. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • 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: Dinslaken
Triple: [Agen, hasTwinTown, Dinslaken]
Generated description
Dinslaken is a town in western Germany’s North Rhine-Westphalia region, known for its industrial heritage and proximity to the Ruhr area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dinslaken
Target entity description: Dinslaken is a town in western Germany’s North Rhine-Westphalia region, known for its industrial heritage and proximity to the Ruhr area.
  • A. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • B. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • C. Drensteinfurt
    Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
  • D. Salzatal
    Salzatal is a municipality in the Saalekreis district of Saxony-Anhalt in central Germany, known for its rural character and location along the Saale valley.
  • E. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20388b7788190b78b9dd2671214ad completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204d73a34819099411deeac073b4a completed March 12, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69b208879a408190aaa368c73d096bb3 completed March 12, 2026, 12:27 a.m.
Created at: March 8, 2026, 3:03 p.m.