Triple

T22280682
Position Surface form Disambiguated ID Type / Status
Subject James Bowie E550721 entity
Predicate residence P75 FINISHED
Object San Antonio de Béxar — 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: San Antonio de Béxar | Statement: [James Bowie, residence, San Antonio de Béxar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Antonio de Béxar
Context triple: [James Bowie, residence, San Antonio de Béxar]
  • A. San Antonio de Béxar chosen
    San Antonio de Béxar was a historic Spanish colonial settlement in present-day Texas that became a key military and political center, later evolving into the modern city of San Antonio.
  • B. San Antonio
    San Antonio is a barangay in the municipality of Los Baños in the province of Laguna, Philippines.
  • C. San Antonio
    San Antonio is a coastal municipality in the province of Northern Samar in the Philippines, known for its island beaches and fishing communities.
  • D. San Antonio
    San Antonio is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
  • E. San Antonio
    San Antonio is a small unincorporated community in Conejos County, Colorado, known for its rural setting in the San Luis Valley near the New Mexico border.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14eab4f848190b1a8ba70f9fb0581 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.