Triple

T6891975
Position Surface form Disambiguated ID Type / Status
Subject Nervión River E159068 entity
Predicate alsoKnownAs P39 FINISHED
Object Río Nervión E159068 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: Río Nervión | Statement: [Nervión River, alsoKnownAs, Río Nervión]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Río Nervión
Context triple: [Nervión River, alsoKnownAs, Río Nervión]
  • A. Nervión River chosen
    The Nervión River is a prominent river in northern Spain that flows through the Basque Country and passes by the city of Bilbao before reaching the Bay of Biscay.
  • B. Segura River
    The Segura River is a major river in southeastern Spain that flows through several provinces, including Murcia, before emptying into the Mediterranean Sea.
  • C. Manzanares River
    The Manzanares River is a coastal river in northeastern Venezuela that flows through the city of Cumaná before emptying into the Caribbean Sea.
  • D. Manzanares River
    The Manzanares River is a modest river in central Spain that flows through the city of Madrid and has historically shaped its landscape and development.
  • E. Lerma River
    The Lerma River is one of central Mexico’s most important rivers, serving as a major water source for agriculture, industry, and urban areas across several states.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d92ecbdc8190992f9c7f4f33f4c4 completed March 27, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748d625908190b3b1f7cfe6360016 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:24 p.m.