Triple

T22227050
Position Surface form Disambiguated ID Type / Status
Subject SPQT E549366 entity
Predicate locatedIn P40 FINISHED
Object Iquitos 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: Iquitos | Statement: [SPQT, locatedIn, Iquitos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iquitos
Context triple: [SPQT, locatedIn, Iquitos]
  • A. Iquitos chosen
    Iquitos is a major Peruvian city in the Amazon rainforest, known as one of the world’s largest cities accessible only by river and air.
  • B. Puerto Maldonado
    Puerto Maldonado is a frontier city in the Peruvian Amazon known as a gateway to the Madre de Dios rainforest and nearby biodiversity-rich reserves.
  • C. Puerto Carreño
    Puerto Carreño is a remote Colombian town located at the confluence of the Orinoco and Meta rivers, serving as an important river port and administrative center in the eastern plains region.
  • D. Juliaca
    Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
  • E. Arauquita
    Arauquita is a Colombian municipality in the eastern plains region, known for its agricultural activities and proximity to the Venezuelan border.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12befe38c8190b547586e41b099b1 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:37 p.m.