Triple

T7850985
Position Surface form Disambiguated ID Type / Status
Subject Karl Hanke E182051 entity
Predicate placeOfBirth P1 FINISHED
Object Lauban
Lauban is the former German name for the town now known as Lubań, located in southwestern Poland near the Czech and German borders.
 E699995 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: Lauban | Statement: [Karl Hanke, placeOfBirth, Lauban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lauban
Context triple: [Karl Hanke, placeOfBirth, Lauban]
  • A. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • B. Lahab
    Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • C. Lavant
    Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
  • D. Nachoragan
    Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
  • E. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • 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: Lauban
Triple: [Karl Hanke, placeOfBirth, Lauban]
Generated description
Lauban is the former German name for the town now known as Lubań, located in southwestern Poland near the Czech and German borders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lauban
Target entity description: Lauban is the former German name for the town now known as Lubań, located in southwestern Poland near the Czech and German borders.
  • A. Talbach
    Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
  • B. Lahab
    Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
  • C. Lavant
    Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
  • D. Nachoragan
    Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
  • E. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:50 p.m.