Triple

T1986995
Position Surface form Disambiguated ID Type / Status
Subject Pope Paul III E43163 entity
Predicate birthPlace P1 FINISHED
Object Canino E43163 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: Canino | Statement: [Pope Paul III, birthPlace, Canino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canino
Context triple: [Pope Paul III, birthPlace, Canino]
  • A. Canino chosen
    Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
  • B. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • C. San Bernardo
    San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
  • D. Boso
    Boso is the fictional dialogue partner and student of Anselm of Canterbury in the theological treatise "Cur Deus Homo," representing the questioning layperson in discussions about the Incarnation and Atonement.
  • E. Dongo
    Dongo is a small town on the northwestern shore of Lake Como in Lombardy, Italy, known for its role in the capture of Benito Mussolini at the end of World War II.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb840a5708190a9b64564b855fb22 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033410a88190bac79032a012549a completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.