Triple

T1681323
Position Surface form Disambiguated ID Type / Status
Subject historic town center of Landsberg am Lech E36344 entity
Predicate hasPart P35 FINISHED
Object Bayertor
Bayertor is a well-preserved medieval city gate in Landsberg am Lech, Germany, renowned as one of the town’s most prominent historical landmarks.
 E190044 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: Bayertor | Statement: [historic town center of Landsberg am Lech, hasPart, Bayertor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bayertor
Context triple: [historic town center of Landsberg am Lech, hasPart, Bayertor]
  • A. Parbold
    Parbold is a village in Lancashire, England, known for its scenic setting near the River Douglas and the Leeds and Liverpool Canal.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Bergby
    Bergby is a small urban locality in eastern Sweden situated within Gävle Municipality in Gävleborg County.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • 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: Bayertor
Triple: [historic town center of Landsberg am Lech, hasPart, Bayertor]
Generated description
Bayertor is a well-preserved medieval city gate in Landsberg am Lech, Germany, renowned as one of the town’s most prominent historical landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bayertor
Target entity description: Bayertor is a well-preserved medieval city gate in Landsberg am Lech, Germany, renowned as one of the town’s most prominent historical landmarks.
  • A. Parbold
    Parbold is a village in Lancashire, England, known for its scenic setting near the River Douglas and the Leeds and Liverpool Canal.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Bergby
    Bergby is a small urban locality in eastern Sweden situated within Gävle Municipality in Gävleborg County.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627935888190ad793a720bb6cba5 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bce0d48190ba3762fabd0bcdd6 completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad724651e08190a77519ad21c64b23 completed March 8, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69ad72c405b081909bff8bf621e9baec completed March 8, 2026, 12:59 p.m.
Created at: March 4, 2026, 7:29 p.m.