Triple

T2671081
Position Surface form Disambiguated ID Type / Status
Subject Panamá Province E55747 entity
Predicate hasMajorRiver P165 FINISHED
Object Bayano River E341996 NE FINISHED

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: Bayano River | Statement: [Panamá Province, hasMajorRiver, Bayano River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayano River
Context triple: [Panamá Province, hasMajorRiver, Bayano River]
  • A. Bayano River chosen
    The Bayano River is one of Panama’s major rivers, flowing through the eastern part of the country and feeding into the Gulf of Panama.
  • B. Vaza-Barris River
    The Vaza-Barris River is a significant waterway in northeastern Brazil that flows through the state of Sergipe before emptying into the Atlantic Ocean.
  • C. Aracataca River
    The Aracataca River is a waterway in the Magdalena Department of northern Colombia that flows near the town of Aracataca, famously associated with writer Gabriel García Márquez.
  • D. Landak River
    The Landak River is a significant waterway in West Kalimantan, Indonesia, that flows through and helps shape the city of Pontianak.
  • E. Arly River
    The Arly River is a mountain river in southeastern France that flows through the Savoie region before joining the Isère.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98e7d00819088398206fc7db477 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd566575a88190a03a306fbe40f8c9 completed March 20, 2026, 2:15 p.m.
Created at: March 6, 2026, 9:54 p.m.