Triple

T5472925
Position Surface form Disambiguated ID Type / Status
Subject Reuss principalities E122878 entity
Predicate hasCapital P204 FINISHED
Object Lobenstein
Lobenstein is a historic town in present-day Thuringia, Germany, known for having served as the capital of one of the former Reuss principalities.
E521925 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: Lobenstein | Statement: [Reuss principalities, hasCapital, Lobenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lobenstein
Context triple: [Reuss principalities, hasCapital, Lobenstein]
  • A. Loeffler
    Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
  • B. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • C. The Germ
    The Germ was a short-lived 1850 periodical founded by members of the Pre-Raphaelite Brotherhood to promote their artistic and literary ideals.
  • D. Luria
    Luria is a surname most notably associated with Nobel Prize–winning microbiologist Salvador Luria and several other prominent figures in science and Jewish intellectual history.
  • E. Rosenhorn
    Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
  • 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: Lobenstein
Triple: [Reuss principalities, hasCapital, Lobenstein]
Generated description
Lobenstein is a historic town in present-day Thuringia, Germany, known for having served as the capital of one of the former Reuss principalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lobenstein
Target entity description: Lobenstein is a historic town in present-day Thuringia, Germany, known for having served as the capital of one of the former Reuss principalities.
  • A. Loeffler
    Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
  • B. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • C. The Germ
    The Germ was a short-lived 1850 periodical founded by members of the Pre-Raphaelite Brotherhood to promote their artistic and literary ideals.
  • D. Luria
    Luria is a surname most notably associated with Nobel Prize–winning microbiologist Salvador Luria and several other prominent figures in science and Jewish intellectual history.
  • E. Rosenhorn
    Rosenhorn is a notable subsidiary peak in the Bernese Alps of Switzerland, forming part of the Wetterhorn massif.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9230d6d88190a9ac48a4488e1754 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48982b348190907c11424559cf76 completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf48fd9b188190a6b880ff38b1ac67 completed March 22, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69bf496a356081909a425c14dd9c5022 completed March 22, 2026, 1:44 a.m.
Created at: March 20, 2026, 2:09 p.m.