Triple

T9871842
Position Surface form Disambiguated ID Type / Status
Subject Sanchica E239974 entity
Predicate familyName P18 FINISHED
Object Panza E227384 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: Panza | Statement: [Sanchica, familyName, Panza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panza
Context triple: [Sanchica, familyName, Panza]
  • A. Panza chosen
    Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
  • B. Panza
    Panza is a locality within the municipality of Forio on the Italian island of Ischia, known as a small coastal village and tourist area.
  • C. La Panza
    La Panza is one of the principal summits of the Iztaccíhuatl volcano in central Mexico, known for its distinctive “belly” shape along the mountain’s profile.
  • D. Pigna
    Pigna is a historic village and comune in the Liguria region of northwestern Italy, known for its medieval architecture and scenic mountain setting near the French border.
  • E. Balbo
    Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f5cc948190b03186b867c92229 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e46f18148190a36af7e7d7487205 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.