Triple

T14799347
Position Surface form Disambiguated ID Type / Status
Subject House of Theodosius E347864 entity
Predicate capital P234 FINISHED
Object Ravenna E26087 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: Ravenna | Statement: [House of Theodosius, capital, Ravenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravenna
Context triple: [House of Theodosius, capital, Ravenna]
  • A. Ravenna chosen
    Ravenna is a historic city in northeastern Italy renowned for its well-preserved late Roman and Byzantine mosaics and its role as a former capital of the Western Roman Empire.
  • B. Ravenna
    Ravenna is a residential neighborhood in northeast Seattle, Washington, known for its quiet streets, parks, and proximity to the University of Washington.
  • C. RAVENNA
    RAVENNA is an open, IP-based audio-over-Ethernet networking technology designed for real-time, high-quality audio distribution in broadcast and professional media environments.
  • D. Rimini
    Rimini is a historic Italian coastal city on the Adriatic Sea, renowned for its beaches, Roman and Renaissance landmarks, and vibrant tourism industry.
  • E. Bologna
    Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff8754ef408190be0e4ea5c35cf000 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 1:31 a.m.