Triple

T4033890
Position Surface form Disambiguated ID Type / Status
Subject Ceanothus E83781 entity
Predicate nativeTo P410 FINISHED
Object Mexico E346 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: Mexico | Statement: [Ceanothus, nativeTo, Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexico
Context triple: [Ceanothus, nativeTo, Mexico]
  • A. Mexico chosen
    Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
  • B. Mexico
    Mexico is a landlocked municipality in the province of Pampanga in the Philippines, known for its historical churches and agricultural economy.
  • C. State of Mexico
    The State of Mexico is a populous federal entity in central Mexico that surrounds much of Mexico City and is a major political, economic, and industrial hub of the country.
  • D. Guatimozín
    Guatimozín is another name for Cuauhtémoc, the last Aztec emperor who led the defense of Tenochtitlan against the Spanish conquest.
  • E. Texas and Mexico
    Texas and Mexico are neighboring regions in the United States and Mexico, respectively, historically and geographically linked by extensive cultural, economic, and social ties along their shared southern U.S. border.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb108fc0819080c8f41da2e558e0 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55614ffa48190b15a1c2ec20638f2 completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:36 p.m.