Triple

T21320041
Position Surface form Disambiguated ID Type / Status
Subject Loreto Department E525586 entity
Predicate containsCity P294 FINISHED
Object San Lorenzo NE NERFINISHED

How this triple was built (3 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 Lorenzo | Statement: [Loreto Department, containsCity, San Lorenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Lorenzo
Context triple: [Loreto Department, containsCity, San Lorenzo]
  • A. San Lorenzo
    San Lorenzo is a historic church in the Italian town of Spello, known for its medieval architecture and religious significance.
  • B. San Lorenzo
    San Lorenzo is a coastal municipality on the island province of Guimaras in the Philippines, known for its rural communities and agricultural landscape.
  • C. San Lorenzo
    San Lorenzo is an upscale commercial and residential district in Makati, Metro Manila, known for its gated villages, shopping centers, and proximity to the central business area.
  • D. San Lorenzo
    San Lorenzo is an unincorporated community in Alameda County, California, located in the East Bay region of the San Francisco Bay Area.
  • E. San Lorenzo
    San Lorenzo is one of Argentina’s traditional “big five” football clubs, based in Buenos Aires and known for its passionate fan base and historic success in domestic and international competitions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: San Lorenzo
Target entity description: San Lorenzo is a town located in Peru's Loreto Department within the Amazon rainforest region.
  • A. San Lorenzo
    San Lorenzo is a rural municipality in Nicaragua’s central Boaco Department, known for its agricultural economy and small-town character.
  • B. San Lorenzo
    San Lorenzo is a coastal municipality on the island province of Guimaras in the Philippines, known for its rural communities and agricultural landscape.
  • C. San Lorenzo
    San Lorenzo is a major urban city in Paraguay known for its role as a commercial and educational hub within the Central Department.
  • D. San Lorenzo
    San Lorenzo is a municipality in the central-eastern region of Puerto Rico known for its rural landscapes and small-town character.
  • E. San Lorenzo
    San Lorenzo is an unincorporated community in Alameda County, California, located in the East Bay region of the San Francisco Bay Area.
  • F. None of above. chosen

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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ecfb7d481909cb73f95c3ddd9ed completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.