Triple

T8231442
Position Surface form Disambiguated ID Type / Status
Subject Granma landing E192301 entity
Predicate origin P410 FINISHED
Object Veracruz E15932 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: Veracruz | Statement: [Granma landing, origin, Veracruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veracruz
Context triple: [Granma landing, origin, Veracruz]
  • A. Veracruz chosen
    Veracruz is a coastal state in eastern Mexico on the Gulf of Mexico, known for its major port city, rich colonial and indigenous history, and diverse geography ranging from tropical lowlands to high mountains.
  • B. Zimapán
    Zimapán is a town and municipality in the Mexican state of Hidalgo, known for its mining history and rugged mountainous landscapes.
  • C. Yucatán state
    Yucatán state is a region in southeastern Mexico known for its rich Mayan heritage, cenotes, colonial cities, and diverse natural reserves along the Gulf of Mexico.
  • D. Campeche state
    Campeche state is a coastal state in southeastern Mexico on the Yucatán Peninsula, known for its Gulf of Mexico shoreline, Mayan archaeological sites, and extensive protected natural areas.
  • E. Tamaulipas
    Tamaulipas is a northeastern Mexican state along the Gulf of Mexico, known for its coastal plains, agricultural production, and diverse landscapes shaped in part by the Sierra Madre Oriental.
  • 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_69cfab01c58c81909148dacad2dc7667 completed April 3, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:46 p.m.