Triple

T10176502
Position Surface form Disambiguated ID Type / Status
Subject County of Hohenlohe E235865 entity
Predicate hasCapital P204 FINISHED
Object Waldenburg
Waldenburg is a historic small town in the Hohenlohe region of Baden-Württemberg, Germany, known for its hilltop setting and medieval castle.
E846404 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: Waldenburg | Statement: [County of Hohenlohe, hasCapital, Waldenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldenburg
Context triple: [County of Hohenlohe, hasCapital, Waldenburg]
  • A. Ortenburg
    Ortenburg is a market town in Lower Bavaria, Germany, known for its historic castle and role as a former seat of the Counts of Ortenburg.
  • B. Walheim
    Walheim is a surname most notably associated with American astronaut Rex Walheim, who flew on multiple Space Shuttle missions.
  • C. Bergneustadt
    Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
  • D. Arensburg
    Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
  • E. Wrangelsburg
    Wrangelsburg is a historic estate and locality in northeastern Germany associated with the 17th-century Swedish field marshal and statesman Carl Gustaf Wrangel.
  • 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: Waldenburg
Triple: [County of Hohenlohe, hasCapital, Waldenburg]
Generated description
Waldenburg is a historic small town in the Hohenlohe region of Baden-Württemberg, Germany, known for its hilltop setting and medieval castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waldenburg
Target entity description: Waldenburg is a historic small town in the Hohenlohe region of Baden-Württemberg, Germany, known for its hilltop setting and medieval castle.
  • A. Ortenburg
    Ortenburg is a market town in Lower Bavaria, Germany, known for its historic castle and role as a former seat of the Counts of Ortenburg.
  • B. Walheim
    Walheim is a surname most notably associated with American astronaut Rex Walheim, who flew on multiple Space Shuttle missions.
  • C. Bergneustadt
    Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
  • D. Arensburg
    Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
  • E. Wrangelsburg
    Wrangelsburg is a historic estate and locality in northeastern Germany associated with the 17th-century Swedish field marshal and statesman Carl Gustaf Wrangel.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd3a2688190bce277bffffcbf8b completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d31792490c819088c89444f75cdbc9 completed April 6, 2026, 2:16 a.m.
NEDg Description generation batch_69d31877825c8190a6f66a4485a259c4 completed April 6, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69d318d280f48190be1532588963b674 completed April 6, 2026, 2:22 a.m.
Created at: March 30, 2026, 9:11 p.m.