Triple

T13211713
Position Surface form Disambiguated ID Type / Status
Subject Princess of Parma E314508 entity
Predicate relatedTitle P914 FINISHED
Object Prince of Parma E73340 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: Prince of Parma | Statement: [Princess of Parma, relatedTitle, Prince of Parma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of Parma
Context triple: [Princess of Parma, relatedTitle, Prince of Parma]
  • A. Prince of Parma chosen
    Prince of Parma is a noble title historically associated with the ruling Farnese family over the Duchy of Parma in northern Italy.
  • B. Kings of Parma
    Kings of Parma were the monarchs of the Duchy of Parma, an Italian state historically ruled by members of prominent European dynasties such as the Bourbons.
  • C. Prince of Naples
    The Prince of Naples was the hereditary title traditionally borne by the heir apparent to the Italian throne during the Kingdom of Italy.
  • D. Prince of Pontecorvo
    The Prince of Pontecorvo was a Napoleonic-era noble title associated with the House of Beauharnais, linked to the governance of the town of Pontecorvo in central Italy.
  • E. Príncipe de Vergara
    Príncipe de Vergara is a Madrid Metro station serving the Salamanca district, providing an interchange between Line 2 and Line 9.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9f0f148190a0698ef27573c885 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f6136270819093256a143d2c9e65 completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.