Triple

T8235675
Position Surface form Disambiguated ID Type / Status
Subject Garza E192398 entity
Predicate hasVariant P455 FINISHED
Object de la Garza E388924 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: de la Garza | Statement: [Garza, hasVariant, de la Garza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de la Garza
Context triple: [Garza, hasVariant, de la Garza]
  • A. De la Garza chosen
    De la Garza is the fictional Mexican family surname central to Laura Esquivel’s novel "Like Water for Chocolate," associated with the domineering matriarch Mama Elena and her daughters.
  • B. Del Rio
    Del Rio is a border city in southwestern Texas known for its proximity to the Rio Grande and Laughlin Air Force Base.
  • C. Álamos
    Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
  • D. San Elizario
    San Elizario is a historic town in far West Texas known for its 18th-century Spanish mission, preserved adobe architecture, and role in early borderlands history near El Paso.
  • E. Barrazas
    Barrazas is a locality or neighborhood that forms part of the municipality of Carolina in Puerto Rico.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb782a5e18819096235679f5a644a8 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34fb069c8190965d69fae908482e completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.