Triple

T7981599
Position Surface form Disambiguated ID Type / Status
Subject View of Toledo E185581 entity
Predicate hasPart P35 FINISHED
Object Tagus River E24137 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: Tagus River | Statement: [View of Toledo, hasPart, Tagus River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagus River
Context triple: [View of Toledo, hasPart, Tagus River]
  • A. Tagus River chosen
    The Tagus River is the longest river on the Iberian Peninsula, flowing from central Spain through Portugal to the Atlantic Ocean.
  • B. Guadiana River
    The Guadiana River is a major waterway of the Iberian Peninsula that flows through Spain and Portugal, forming part of their border before emptying into the Atlantic Ocean.
  • C. Baixo Guadiana
    Baixo Guadiana is a subregion in southeastern Portugal along the lower Guadiana River, known for its rural landscapes, traditional villages, and cross-border connection with Spain.
  • D. Duero
    The Duero is one of the principal rivers of the Iberian Peninsula, flowing westward from central Spain into Portugal before emptying into the Atlantic Ocean.
  • E. 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.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c28cb108190bca697600bbbf53b completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdff156c481909a32be8828f407ad completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:15 p.m.