Triple

T8714916
Position Surface form Disambiguated ID Type / Status
Subject Altstadt-Lehel E206869 entity
Predicate contains P35 FINISHED
Object Lehel
Lehel is a historic and upscale central district of Munich, Germany, known for its elegant architecture and proximity to the Old Town and the Isar River.
 E753875 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: Lehel | Statement: [Altstadt-Lehel, contains, Lehel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lehel
Context triple: [Altstadt-Lehel, contains, Lehel]
  • A. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • B. Oroszlány
    Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
  • C. Mátraháza
    Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
  • D. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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: Lehel
Triple: [Altstadt-Lehel, contains, Lehel]
Generated description
Lehel is a historic and upscale central district of Munich, Germany, known for its elegant architecture and proximity to the Old Town and the Isar River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lehel
Target entity description: Lehel is a historic and upscale central district of Munich, Germany, known for its elegant architecture and proximity to the Old Town and the Isar River.
  • A. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • B. Oroszlány
    Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
  • C. Mátraháza
    Mátraháza is a small mountain resort village in northern Hungary, known for its scenic location in the Mátra range and its hiking and wellness tourism.
  • D. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • E. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd6707c819092c9fca34f273d5e completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28d62af88190acf2d8692d73b9f5 completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd222b08190907ba7e98991996e completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2fcb5e7c819086b441d1ef4fc368 completed April 3, 2026, 3:11 a.m.
Created at: March 30, 2026, 6:35 p.m.