Triple

T2044390
Position Surface form Disambiguated ID Type / Status
Subject King of Aragon E45416 entity
Predicate hasPart P35 FINISHED
Object King of Naples E21310 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: King of Naples | Statement: [King of Aragon, hasPart, King of Naples]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King of Naples
Context triple: [King of Aragon, hasPart, King of Naples]
  • A. King of Naples chosen
    The King of Naples was the sovereign ruler of the historical Kingdom of Naples in southern Italy, a title held at various times by different European dynasties.
  • B. Prince of Parma
    Prince of Parma is a noble title historically associated with the ruling Farnese family over the Duchy of Parma in northern Italy.
  • C. Prince of Taranto
    The Prince of Taranto was a prominent feudal ruler in southern Italy during the Middle Ages, often associated with Norman and later Angevin control over the Taranto region.
  • D. King of León
    The King of León is a historical royal title from the medieval Kingdom of León in the Iberian Peninsula, now held ceremonially as part of the composite titles of the Spanish monarch.
  • E. Rienzi
    Rienzi is an early grand opera by Richard Wagner that helped establish his reputation through its dramatic political themes and large-scale choral writing.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb97153b08190b91d82f4117982be completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffe98248190b6a4428c6c094d35 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.