Triple

T5774078
Position Surface form Disambiguated ID Type / Status
Subject Tejo E127395 entity
Predicate hasSpanishName P12773 FINISHED
Object Río Tajo E508499 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 Tajo | Statement: [Tejo, hasSpanishName, Río Tajo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Tajo
Context triple: [Tejo, hasSpanishName, Río Tajo]
  • A. Río Tajo chosen
    Río Tajo is the longest river in the Iberian Peninsula, flowing from eastern Spain across the country into Portugal before emptying into the Atlantic Ocean near Lisbon.
  • B. 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.
  • C. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • D. Berlanga de Duero
    Berlanga de Duero is a historic town in the province of Soria, Spain, known for its medieval architecture and cultural heritage.
  • E. Guadalfeo River
    The Guadalfeo River is a river in southern Spain that flows from the Sierra Nevada mountains through the province of Granada to the Mediterranean Sea.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029af681081908276e99c568561ce completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e6bf6348190b0ba46253585c7d9 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.