Triple

T19502046
Position Surface form Disambiguated ID Type / Status
Subject Pilcomayu E487926 entity
Predicate orthographicRelation P33995 FINISHED
Object Pilcomayo 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: Pilcomayo | Statement: [Pilcomayu, orthographicRelation, Pilcomayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilcomayo
Context triple: [Pilcomayu, orthographicRelation, Pilcomayo]
  • A. Pilcomayo River chosen
    The Pilcomayo River is a major South American river that flows from the Andes through Bolivia, Paraguay, and Argentina before joining the Paraná River.
  • B. Mundo River
    The Mundo River is a watercourse in southeastern Spain known for its scenic source at the Riópar waterfalls and for feeding into the Segura River.
  • C. Tanamá
    Tanamá is a barrio (district) of the municipality of Arecibo in Puerto Rico, known primarily as a local residential and community area within the region.
  • D. Gualeguay River
    The Gualeguay River is a major waterway in northeastern Argentina that flows through the province of Entre Ríos and plays an important role in its agriculture and regional ecology.
  • E. Villaguay
    Villaguay is a city in central Argentina known as an important agricultural and commercial hub within Entre Ríos Province.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6350dbae08190bea7fc3e3eb95c3c completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.