Triple

T2223892
Position Surface form Disambiguated ID Type / Status
Subject Duke of Saxe-Coburg and Gotha E48603 entity
Predicate seat P75 FINISHED
Object Gotha E258439 NE FINISHED

How this triple was built (2 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: Gotha | Statement: [Duke of Saxe-Coburg and Gotha, seat, Gotha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gotha
Context triple: [Duke of Saxe-Coburg and Gotha, seat, Gotha]
  • A. Gotha chosen
    Gotha is a historic German city in Thuringia known for its former ducal court, cultural heritage, and role as a residence of various German noble houses.
  • B. Eisenach
    Eisenach is a historic town in central Germany best known for its associations with Martin Luther and as the birthplace of composer Johann Sebastian Bach.
  • C. Nordhausen
    Nordhausen is a historic town in central Germany known for its medieval architecture, former role as a key trading center, and association with the nearby Mittelbau-Dora concentration camp site.
  • D. Jena
    Jena is a historic university city in the German state of Thuringia, known for its role in optics, philosophy, and science.
  • E. Coburg
    Coburg is a historic town in northern Bavaria, Germany, known for its well-preserved medieval architecture and its former role as the seat of the Duchy of Saxe-Coburg and Gotha.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03d1df88190950c691a4c246bd1 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4fac8ae5c8190bfa6c12e3997374b completed March 14, 2026, 6:06 a.m.
Created at: March 4, 2026, 7:47 p.m.