Triple

T11534288
Position Surface form Disambiguated ID Type / Status
Subject Juan Pablo Duarte E273505 entity
Predicate founderOf P104 FINISHED
Object La Trinitaria E436065 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: La Trinitaria | Statement: [Juan Pablo Duarte, founderOf, La Trinitaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Trinitaria
Context triple: [Juan Pablo Duarte, founderOf, La Trinitaria]
  • A. La Trinitaria chosen
    La Trinitaria was a secret revolutionary society founded by Juan Pablo Duarte that led the movement for Dominican independence from Haitian rule in the 19th century.
  • B. Patria Nueva
    Patria Nueva was the period of Chilean history marked by the successful re-establishment and consolidation of independence following the end of Spanish royalist control.
  • C. Patria
    Patria is a Finnish defense industry company known for developing and manufacturing military vehicles, systems, and related defense solutions.
  • D. Patria
    Patria was a passenger ship best known for its tragic 1940 sinking in Haifa harbor, which killed hundreds of Jewish refugees during an attempt to prevent their deportation by British authorities.
  • E. Trini
    Trini is the given name of American actress Trini Alvarado, known for her roles in films such as "Little Women" and "The Frighteners."
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839b4bb48190b748ec4119f36c11 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6858af0d081909078d5862ec3d469 completed April 20, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:37 p.m.