Triple

T8937963
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Lichtenberg E212823 entity
Predicate containsLocality P45140 FINISHED
Object Wartenberg
Wartenberg is a locality in the northeastern part of Berlin, Germany, known for its residential areas and proximity to green spaces.
 E767633 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: Wartenberg | Statement: [Berlin-Lichtenberg, containsLocality, Wartenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wartenberg
Context triple: [Berlin-Lichtenberg, containsLocality, Wartenberg]
  • A. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • B. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • C. Wipfeld
    Wipfeld is a small municipality in northern Bavaria, Germany, situated along the Main River and known for its winegrowing and historic Franconian character.
  • D. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • E. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • 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: Wartenberg
Triple: [Berlin-Lichtenberg, containsLocality, Wartenberg]
Generated description
Wartenberg is a locality in the northeastern part of Berlin, Germany, known for its residential areas and proximity to green spaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wartenberg
Target entity description: Wartenberg is a locality in the northeastern part of Berlin, Germany, known for its residential areas and proximity to green spaces.
  • A. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • B. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • C. Wipfeld
    Wipfeld is a small municipality in northern Bavaria, Germany, situated along the Main River and known for its winegrowing and historic Franconian character.
  • D. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • E. Kurtzberg
    Kurtzberg is the birth surname of legendary comic book creator Jack Kirby, co-architect of much of the Marvel Universe.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b57a348190979effe4f9998eb7 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1e692548190b631c4926927d12f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc2b23be0819089503ca761f3f0b4 completed April 3, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3731fbc8190bd3efc9a9786d078 completed April 3, 2026, 1:41 p.m.
Created at: March 30, 2026, 6:58 p.m.