Triple

T4224170
Position Surface form Disambiguated ID Type / Status
Subject Halle (Saale) E94413 entity
Predicate hasOperaHouse P32505 FINISHED
Object Oper Halle
Oper Halle is the main opera company and theater in Halle (Saale), Germany, known for its productions of opera, ballet, and musical theater.
E94413 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: Oper Halle | Statement: [Halle (Saale), hasOperaHouse, Oper Halle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oper Halle
Context triple: [Halle (Saale), hasOperaHouse, Oper Halle]
  • A. Hallen
    Hallen is a small village in South Gloucestershire, England, situated near Bristol and known for its rural character and proximity to major transport routes.
  • B. Halle
    Halle is a surname most notably borne by Morris Halle, a prominent linguist and phonologist.
  • C. Hamm-Brücher
    Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
  • D. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • E. Halle (Saale)
    Halle (Saale) is a major city in the German state of Saxony-Anhalt, known as an important economic, cultural, and educational center, including being home to the Martin Luther University of Halle-Wittenberg.
  • 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: Oper Halle
Triple: [Halle (Saale), hasOperaHouse, Oper Halle]
Generated description
Oper Halle is the main opera company and theater in Halle (Saale), Germany, known for its productions of opera, ballet, and musical theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oper Halle
Target entity description: Oper Halle is the main opera company and theater in Halle (Saale), Germany, known for its productions of opera, ballet, and musical theater.
  • A. Hallen
    Hallen is a small village in South Gloucestershire, England, situated near Bristol and known for its rural character and proximity to major transport routes.
  • B. Halle
    Halle is a surname most notably borne by Morris Halle, a prominent linguist and phonologist.
  • C. Hamm-Brücher
    Hamm-Brücher is the hyphenated surname associated with German politician and liberal education advocate Hildegard Hamm-Brücher.
  • D. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • E. Halle (Saale) chosen
    Halle (Saale) is a major city in the German state of Saxony-Anhalt, known as an important economic, cultural, and educational center, including being home to the Martin Luther University of Halle-Wittenberg.
  • F. None of above.

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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964532e08190bb1dc56f734e6ebb completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b59a0e97d481908dfbab773468f3d5 completed March 14, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69b59e23353c819080b56841d7f32cae completed March 14, 2026, 5:42 p.m.
Created at: March 12, 2026, 11:04 p.m.