Triple

T7367556
Position Surface form Disambiguated ID Type / Status
Subject Treptow-Köpenick E169909 entity
Predicate contains P35 FINISHED
Object Johannisthal
Johannisthal is a locality in the Berlin borough of Treptow-Köpenick, known historically for Germany’s first airfield and its early aviation activities.
 E660322 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: Johannisthal | Statement: [Treptow-Köpenick, contains, Johannisthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Johannisthal
Context triple: [Treptow-Köpenick, contains, Johannisthal]
  • A. Lilienthal
    Lilienthal is a German-origin surname borne by various notable individuals, including figures in aviation, science, and public service.
  • B. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • C. Johannisberg
    Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
  • D. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • E. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • 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: Johannisthal
Triple: [Treptow-Köpenick, contains, Johannisthal]
Generated description
Johannisthal is a locality in the Berlin borough of Treptow-Köpenick, known historically for Germany’s first airfield and its early aviation activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Johannisthal
Target entity description: Johannisthal is a locality in the Berlin borough of Treptow-Köpenick, known historically for Germany’s first airfield and its early aviation activities.
  • A. Lilienthal
    Lilienthal is a German-origin surname borne by various notable individuals, including figures in aviation, science, and public service.
  • B. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • C. Johannisberg
    Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
  • D. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • E. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f17ea0608190955ac3474f6da7bb completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802bc25908190ad444de63b7526a0 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c8055ea7ec8190ba58ff8dfb3569da completed March 28, 2026, 4:44 p.m.
NED2 Entity disambiguation (via description) batch_69c805bc798c81909614bb966196b4ee completed March 28, 2026, 4:45 p.m.
Created at: March 27, 2026, 3:06 p.m.