Triple

T17846738
Position Surface form Disambiguated ID Type / Status
Subject Puerto Inca Province E445681 entity
Predicate hasRiver P165 FINISHED
Object Pachitea River 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: Pachitea River | Statement: [Puerto Inca Province, hasRiver, Pachitea River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pachitea River
Context triple: [Puerto Inca Province, hasRiver, Pachitea River]
  • A. Pachitea River chosen
    The Pachitea River is a significant waterway in central Peru that drains part of the Amazon Basin and helps feed the larger Ucayali River system.
  • B. Zaña River
    The Zaña River is a watercourse in northern Peru that flows through the Zaña Valley toward the Pacific Ocean, supporting nearby agricultural communities.
  • C. Upamayo River
    The Upamayo River is a Peruvian river that drains the waters of Lake Junín and forms part of the upper Amazon basin.
  • D. Lacha River
    The Lacha River is a waterway in northwestern Russia that ultimately feeds into the Onega River system.
  • E. Tahuando River
    The Tahuando River is a waterway in northern Ecuador that flows through the city of Ibarra in the Andean highlands.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.