Triple

T20369300
Position Surface form Disambiguated ID Type / Status
Subject Sangre de Cristo Land Grant E497003 entity
Predicate country P26 FINISHED
Object Mexico (at time of grant) NE NERFINISHED

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 (at time of grant) | Statement: [Sangre de Cristo Land Grant, country, Mexico (at time of grant)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexico (at time of grant)
Context triple: [Sangre de Cristo Land Grant, country, Mexico (at time of grant)]
  • 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. Mexico, New York
    Mexico, New York is a small village in upstate New York known for its historic charm and role as a local hub within Oswego County.
  • D. Chihuahua, Mexico
    Chihuahua, Mexico is a large state in northern Mexico known for its vast deserts, rugged Sierra Madre mountains, and role in the Mexican Revolution.
  • E. Navojoa
    Navojoa is a city in the southern part of the state of Sonora, Mexico, known as an agricultural and commercial center in the Mayo River valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6787454a88190ae87d9b3c9b5ad27 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.