Triple

T15614876
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Ayllón E375385 entity
Predicate hasRiverSource P947 FINISHED
Object Jarama River E77049 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: Jarama River | Statement: [Sierra de Ayllón, hasRiverSource, Jarama River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarama River
Context triple: [Sierra de Ayllón, hasRiverSource, Jarama River]
  • A. Jarama River chosen
    The Jarama River is a major tributary of the Tagus in central Spain, historically notable as the site of intense fighting during the Spanish Civil War.
  • B. Henares River
    The Henares River is a tributary of the Jarama in central Spain that flows through Castilla–La Mancha and the Community of Madrid, historically supporting towns such as Alcalá de Henares.
  • C. 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.
  • D. 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.
  • E. Manzanares
    Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e83407c8190abbcd4b7fab0ff85 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59535908190a3d085a5e74b06e8 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:13 a.m.