Triple

T18558016
Position Surface form Disambiguated ID Type / Status
Subject Azpeitia E453554 entity
Predicate locatedOnRiver P165 FINISHED
Object Urola 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: Urola River | Statement: [Azpeitia, locatedOnRiver, Urola River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urola River
Context triple: [Azpeitia, locatedOnRiver, Urola River]
  • A. Urola River chosen
    The Urola River is a watercourse in the Basque province of Gipuzkoa in northern Spain that flows through towns such as Azpeitia before reaching the Cantabrian coast.
  • B. Alviela River
    The Alviela River is a river in central Portugal known for its karst springs and for flowing through the Santarém District before joining the Tagus River.
  • C. Upía River
    The Upía River is a river in central Colombia that drains the waters of Lake Tota and flows eastward as part of the Orinoco River basin.
  • D. Tamsa River
    The Tamsa River is a tributary of the Ganges in northern India, flowing through Uttar Pradesh and Madhya Pradesh and passing towns such as Akbarpur along its course.
  • E. Ikva River
    The Ikva River is a waterway in western Ukraine that flows through the historic town of Kremenets and forms part of the region’s local river network.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53808028c8190825630525d84a29b completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:41 a.m.