Triple

T10806015
Position Surface form Disambiguated ID Type / Status
Subject Walsum E254966 entity
Predicate hasPart P35 FINISHED
Object Aldenrade
Aldenrade is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
E886729 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: Aldenrade | Statement: [Walsum, hasPart, Aldenrade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aldenrade
Context triple: [Walsum, hasPart, Aldenrade]
  • A. Rehling
    Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Oberalm
    Oberalm is a small municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
  • C. Shalden
    Shalden is a small rural village and civil parish in the East Hampshire district of Hampshire, England.
  • D. Essenrode
    Essenrode is a small village in Lower Saxony, Germany, historically associated with the noble von Hardenberg family.
  • E. Chaldoran
    Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
  • 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: Aldenrade
Triple: [Walsum, hasPart, Aldenrade]
Generated description
Aldenrade is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aldenrade
Target entity description: Aldenrade is a district within the Walsum borough of Duisburg in North Rhine-Westphalia, Germany.
  • A. Rehling
    Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
  • B. Oberalm
    Oberalm is a small municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
  • C. Shalden
    Shalden is a small rural village and civil parish in the East Hampshire district of Hampshire, England.
  • D. Essenrode
    Essenrode is a small village in Lower Saxony, Germany, historically associated with the noble von Hardenberg family.
  • E. Chaldoran
    Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b3f92c8190bcc85db22d77bb7d completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5680566c8190bd4ce7a736dc0e46 completed April 14, 2026, 3 p.m.
NEDg Description generation batch_69de5eaf3cc08190935cb6ddf2020166 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de63a902f4819089845bc6d7469c6b completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:18 p.m.