Triple

T2071435
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Spain E44822 entity
Predicate majorRiver P165 FINISHED
Object Tagus 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 | Statement: [Kingdom of Spain, majorRiver, Tagus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagus
Context triple: [Kingdom of Spain, majorRiver, Tagus]
  • 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. 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.
  • C. 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.
  • D. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba0d20bc8190b19a32157f8b1607 completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7eee9bd88190a46e34030939a568 completed March 9, 2026, 8:03 a.m.
Created at: March 4, 2026, 7:41 p.m.