Triple

T14724542
Position Surface form Disambiguated ID Type / Status
Subject Peine E345903 entity
Predicate hasSubdivision P747 FINISHED
Object Düsedau
Düsedau is a small locality that forms part of the town of Peine in Lower Saxony, Germany.
E1115387 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: Düsedau | Statement: [Peine, hasSubdivision, Düsedau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Düsedau
Context triple: [Peine, hasSubdivision, Düsedau]
  • A. Dombach
    Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
  • B. Durbach
    Durbach is a wine-growing municipality in southwestern Germany, renowned for its vineyards and picturesque location in the Black Forest region.
  • C. Düssel
    Düssel is a small village and district within the town of Wülfrath in North Rhine-Westphalia, Germany.
  • D. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • E. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • 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: Düsedau
Triple: [Peine, hasSubdivision, Düsedau]
Generated description
Düsedau is a small locality that forms part of the town of Peine in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Düsedau
Target entity description: Düsedau is a small locality that forms part of the town of Peine in Lower Saxony, Germany.
  • A. Dombach
    Dombach is a district or locality within the town of Bad Camberg in the state of Hesse, Germany.
  • B. Durbach
    Durbach is a wine-growing municipality in southwestern Germany, renowned for its vineyards and picturesque location in the Black Forest region.
  • C. Düssel
    Düssel is a small village and district within the town of Wülfrath in North Rhine-Westphalia, Germany.
  • D. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • E. Lauterach
    Lauterach is a small municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its rural character and scenic Swabian Jura surroundings.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf32c1ec48190b28fb67e00b87fcd completed May 8, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_69fdf3cfd7b48190b5d6177c5bf0e42e completed May 8, 2026, 2:31 p.m.
Created at: April 10, 2026, 1:29 a.m.