Triple

T19095855
Position Surface form Disambiguated ID Type / Status
Subject Gran Santiago E467401 entity
Predicate contains P35 FINISHED
Object El Bosque 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: El Bosque | Statement: [Gran Santiago, contains, El Bosque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Bosque
Context triple: [Gran Santiago, contains, El Bosque]
  • A. El Bosque chosen
    El Bosque is a commune and residential district within the Santiago Metropolitan Area of Chile, known for its predominantly working- and middle-class population.
  • B. El Bosque
    El Bosque is the popular nickname for Estadio Juan Carmelo Zerillo, the historic football stadium of Gimnasia y Esgrima La Plata in Argentina.
  • C. El Chapare
    El Chapare is a tropical, coca-growing region in central Bolivia known for its political significance and strong support base for former president Evo Morales.
  • D. Misiones rainforest
    The Misiones rainforest is a subtropical forest in northeastern Argentina renowned for its rich biodiversity, red-soil landscapes, and iconic Iguazú Falls.
  • E. El Ceibal
    El Ceibal is an ancient Maya archaeological site in Guatemala known for its well-preserved stelae and long history of occupation.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e368f20c8190bd84d2ba320991ac completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.