Triple

T16663560
Position Surface form Disambiguated ID Type / Status
Subject Gran Valparaíso E404920 entity
Predicate hasCommune P51099 FINISHED
Object Concón E365789 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: Concón | Statement: [Gran Valparaíso, hasCommune, Concón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concón
Context triple: [Gran Valparaíso, hasCommune, Concón]
  • A. Concón chosen
    Concón is a coastal city and popular beach resort in central Chile, known for its dunes, seafood, and proximity to Viña del Mar.
  • B. Vale de Santiago
    Vale de Santiago is a civil parish in the municipality of Odemira, located in the Alentejo region of southern Portugal.
  • C. Costa Chica
    Costa Chica is a coastal region in southern Mexico known for its Afro-Mexican communities, rich cultural traditions, and Pacific shoreline spanning parts of Oaxaca and Guerrero.
  • D. Quepos
    Quepos is a coastal town in Costa Rica known as the gateway to Manuel Antonio National Park and a popular destination for sport fishing and beach tourism.
  • E. Ossandón
    Ossandón is a Chilean surname most prominently associated with politician Manuel José Ossandón, a senator and former presidential candidate in Chile.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9afd048190b73bbc9c423915ca completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084d091e0819088a98ef4aa775d07 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.