Triple

T14520600
Position Surface form Disambiguated ID Type / Status
Subject Teia E340638 entity
Predicate predecessor P97 FINISHED
Object Totila E340640 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: Totila | Statement: [Teia, predecessor, Totila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Totila
Context triple: [Teia, predecessor, Totila]
  • A. Totila chosen
    Totila was a 6th-century king of the Ostrogoths best known for his dynamic military leadership and central role in the later stages of the Gothic War against the Byzantine Empire.
  • B. Optila
    Optila was a Hun bodyguard who, along with fellow conspirators, carried out the assassination of Western Roman Emperor Valentinian III in 455 AD.
  • C. Tutermaa
    Tutermaa is a small village located in Harku Parish in northern Estonia.
  • D. Tumut
    Tumut is a historic town in the Snowy Mountains region of New South Wales, Australia, known for its timber industry, scenic river landscapes, and role as a gateway to the Snowy Mountains Scheme.
  • E. Kinnula
    Kinnula is a small rural municipality in western Central Finland known for its forests, lakes, and outdoor recreation.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94aa39c08190a265f7e23a2c1f0e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:22 a.m.