Triple

T3298711
Position Surface form Disambiguated ID Type / Status
Subject Province of Guadalajara E69277 entity
Predicate river 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: [Province of Guadalajara, river, Tagus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagus
Context triple: [Province of Guadalajara, river, 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bb385f48190a67051e8681fa64d completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:11 p.m.