Triple

T22596248
Position Surface form Disambiguated ID Type / Status
Subject Gregorio Pita District E574688 entity
Predicate subdivisionName2 P766 FINISHED
Object San Marcos 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 Marcos | Statement: [Gregorio Pita District, subdivisionName2, San Marcos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Marcos
Context triple: [Gregorio Pita District, subdivisionName2, San Marcos]
  • A. San Marcos
    San Marcos is a suburban city in northern San Diego County, California, known for its growing residential communities and educational institutions such as California State University San Marcos.
  • B. San Marcos
    San Marcos is a municipality located in the Sucre Department of northern Colombia, known for its role in the region’s agricultural and cattle-raising economy.
  • C. San Marcos
    San Marcos is a coastal town in the Mexican state of Guerrero, known as one of the principal urban centers of the Costa Chica region.
  • D. San Marcos
    San Marcos is a municipality in El Salvador known for its proximity to the capital, San Salvador, and its role as a residential and commercial suburb within the San Salvador metropolitan area.
  • E. San Marcos chosen
    San Marcos is a town in northern Peru that serves as a local commercial and administrative hub in the Cajamarca region.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16268cb54819084a0f27ec0473f35 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.