Triple

T9444189
Position Surface form Disambiguated ID Type / Status
Subject Cerro de la Laguna E227721 entity
Predicate nearCity P350 FINISHED
Object Todos Santos (region) E249551 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: Todos Santos (region) | Statement: [Cerro de la Laguna, nearCity, Todos Santos (region)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todos Santos (region)
Context triple: [Cerro de la Laguna, nearCity, Todos Santos (region)]
  • A. Todos Santos
    Todos Santos was the original name of what is now Concord, California, a town that began as a small 19th-century agricultural community in the East Bay region.
  • B. Costa Chica region
    The Costa Chica region is a coastal area in southern Mexico known for its Afro-Mexican communities, rich cultural traditions, and Pacific beaches.
  • C. Santa Cruz do Sul
    Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
  • D. Maekel Region
    Maekel Region is a central administrative region of Eritrea that includes the nation’s capital, Asmara, and serves as its political and economic hub.
  • E. Costa Grande region chosen
    The Costa Grande region is a coastal area in the Mexican state of Guerrero known for its beaches, fishing communities, and agricultural production.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f32aee88190a43573f97fa1e49d completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d110669ca48190bbaf772e2e6aa457 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.