Triple

T8231428
Position Surface form Disambiguated ID Type / Status
Subject Granma landing E192301 entity
Predicate location P40 FINISHED
Object Las Coloradas E259167 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: Las Coloradas | Statement: [Granma landing, location, Las Coloradas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Coloradas
Context triple: [Granma landing, location, Las Coloradas]
  • A. Las Coloradas chosen
    Las Coloradas is a small coastal village in Mexico’s Yucatán Peninsula, known for its striking pink salt lagoons and wildlife-rich surroundings.
  • B. Los Colorados
    Los Colorados is a small island group off the northwestern coast of Cuba, known for its low-lying cays, coral reefs, and marine biodiversity.
  • C. La Colorada
    La Colorada is a small municipality in the Mexican state of Sonora, historically known for its mining activities.
  • D. Los Ríos
    Los Ríos is an administrative region in southern Chile known for its rivers, lakes, and temperate rainforests.
  • E. Mangas Coloradas
    Mangas Coloradas was a prominent 19th-century Apache leader and war chief who played a key role in resisting Mexican and American expansion into Apache territories.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7824a6c48190a3abb76c4c3dcc71 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34e77fd08190a76f81de96d4e605 completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.