Triple

T6735542
Position Surface form Disambiguated ID Type / Status
Subject River Costa E153744 entity
Predicate hasName P744 FINISHED
Object River Costa E153744 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: River Costa | Statement: [River Costa, hasName, River Costa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Costa
Context triple: [River Costa, hasName, River Costa]
  • A. River Costa chosen
    River Costa is a small river flowing through the North York Moors in North Yorkshire, England.
  • B. Del Salto River
    The Del Salto River is a Patagonian watercourse in southern Chile that forms part of the Baker River basin, contributing to one of the country’s largest and most powerful river systems.
  • C. Los Palacios River
    Los Palacios River is a watercourse that flows through and gives its name to the town of Los Palacios.
  • D. Cipreses River
    The Cipreses River is a lesser-known watercourse in central Chile that feeds into the larger Maule River within the Maule Region.
  • E. Quevedo River
    The Quevedo River is a significant waterway in western Ecuador that flows through agricultural lowlands and supports the economy and ecosystems of Los Ríos Province.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16ecbe08190b019d547f631a725 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941f469c881908e83cfd6c8191af1 completed March 29, 2026, 3:15 p.m.
Created at: March 27, 2026, 2:09 p.m.