Triple

T17800765
Position Surface form Disambiguated ID Type / Status
Subject South El Monte, California E444416 entity
Predicate hasFeature P182 FINISHED
Object Rio Hondo 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: Rio Hondo | Statement: [South El Monte, California, hasFeature, Rio Hondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Hondo
Context triple: [South El Monte, California, hasFeature, Rio Hondo]
  • A. Rio Hondo chosen
    Rio Hondo is a major urban stream in Los Angeles County that serves as a key tributary to the Los Angeles River and plays an important role in regional flood control and water management.
  • B. Rio Largo
    Rio Largo is a municipality in the Brazilian state of Alagoas, known for its role in the region’s sugarcane industry and proximity to the state capital, Maceió.
  • C. Rio Hato
    Rio Hato is a coastal area in Panama known for its airfield, which was a key target during the U.S. invasion of Panama in Operation Just Cause.
  • D. La Matanza River
    La Matanza River is a heavily polluted waterway in the Buenos Aires metropolitan area of Argentina, known for flowing through densely populated and industrial zones.
  • E. Rio Bonito
    Rio Bonito is a municipality in the state of Rio de Janeiro, Brazil, known for its Atlantic Forest landscapes and role as a regional agricultural and service center.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487ff42108190b82ceb4466aa2dff completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.