Triple

T1238178
Position Surface form Disambiguated ID Type / Status
Subject Sant’Anna E26594 entity
Predicate correspondsTo P6530 FINISHED
Object Santa Ana (Spanish) E26595 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: Santa Ana (Spanish) | Statement: [Sant’Anna, correspondsTo, Santa Ana (Spanish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Ana (Spanish)
Context triple: [Sant’Anna, correspondsTo, Santa Ana (Spanish)]
  • A. Santa Ana (Spanish) chosen
    Santa Ana is the Spanish-language form of the name Saint Anne, the mother of the Virgin Mary in Christian tradition.
  • B. Rosarito
    Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
  • C. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • D. San Pedro Mártir
    San Pedro Mártir is a neighborhood within Mexico City’s Tlalpan borough, known for its semi-rural character and location along the southern edge of the metropolis.
  • E. San Lázaro
    San Lázaro is a major transit hub and neighborhood in Mexico City, known for its metro and Metrobús connections and proximity to the federal legislative complex.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf406b988190a12aa26bbcb88d6a completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7755fc819089e23eca81583885 completed March 7, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:47 p.m.