Triple

T20827826
Position Surface form Disambiguated ID Type / Status
Subject Saint Hyacinth E512750 entity
Predicate inspiredToponym P14480 FINISHED
Object San Jacinto Department NE NERFINISHED

How this triple was built (3 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: San Jacinto Department | Statement: [Saint Hyacinth, inspiredToponym, San Jacinto Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Jacinto Department
Context triple: [Saint Hyacinth, inspiredToponym, San Jacinto Department]
  • A. San Marcos Department
    San Marcos Department is a western Guatemalan administrative region bordering Mexico, known for its mountainous terrain and including the country’s highest peak, Tajumulco Volcano.
  • B. Cortés Department
    Cortés Department is a key industrial and commercial region in northwestern Honduras that includes the major city of San Pedro Sula and serves as an important transportation and economic hub for the country.
  • C. Santa María Department
    Santa María Department is an administrative division in Argentina’s Catamarca Province, known for its Andean landscapes, archaeological heritage, and wine-producing valleys.
  • D. San Vicente Department
    San Vicente Department is an administrative region in central El Salvador known for its agricultural economy and as the site of significant events during the country’s civil war.
  • E. San Miguel Department
    San Miguel Department is an administrative division in eastern El Salvador that includes the city of San Miguel as its capital and economic center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Jacinto Department
Target entity description: San Jacinto Department is an administrative region named in honor of Saint Hyacinth, reflecting the historical influence of Catholicism on local place names.
  • A. San Marcos Department
    San Marcos Department is a western Guatemalan administrative region bordering Mexico, known for its mountainous terrain and including the country’s highest peak, Tajumulco Volcano.
  • B. Cortés Department
    Cortés Department is a key industrial and commercial region in northwestern Honduras that includes the major city of San Pedro Sula and serves as an important transportation and economic hub for the country.
  • C. Santa María Department
    Santa María Department is an administrative division in Argentina’s Catamarca Province, known for its Andean landscapes, archaeological heritage, and wine-producing valleys.
  • D. San Vicente Department
    San Vicente Department is an administrative region in central El Salvador known for its agricultural economy and as the site of significant events during the country’s civil war.
  • E. San Miguel Department
    San Miguel Department is an administrative division in eastern El Salvador that includes the city of San Miguel as its capital and economic center.
  • F. None of above. chosen

Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c31e387481909fcf323f97019803 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.