Triple

T877040
Position Surface form Disambiguated ID Type / Status
Subject Francisco Ramos da Costa E18940 entity
Predicate givenName P17 FINISHED
Object Francisco E62786 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: Francisco | Statement: [Francisco Ramos da Costa, givenName, Francisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco
Context triple: [Francisco Ramos da Costa, givenName, Francisco]
  • A. Francisco chosen
    Francisco is a masculine given name of Spanish and Portuguese origin, equivalent to Francis in English.
  • B. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • C. Pedro Messía de la Cerda
    Pedro Messía de la Cerda was an 18th-century Spanish naval officer and colonial administrator who served as a prominent viceroy in Spanish South America.
  • D. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • E. Baltasar Hidalgo de Cisneros
    Baltasar Hidalgo de Cisneros was a Spanish naval officer and colonial administrator who served as the last viceroy of the Río de la Plata before being deposed during the May Revolution of 1810.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb06ea88190962502172d434eb4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac660a86d881908ae96a5492c9b9a2 completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:39 p.m.