Triple

T3635209
Position Surface form Disambiguated ID Type / Status
Subject Jarama River E77049 entity
Predicate crosses P416 FINISHED
Object Jarama valley 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 valley | Statement: [Jarama River, crosses, Jarama valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarama valley
Context triple: [Jarama River, crosses, Jarama valley]
  • A. Jarama
    The Jarama is a major river in central Spain that flows through the Community of Madrid and Castile-La Mancha before joining the Tagus River.
  • B. de Garnica
    De Garnica is a Spanish surname associated with individuals such as José de Garnica.
  • C. Henares valley
    Henares valley is a geographical region in central Spain shaped by the Henares River, known for its fertile plains, historical towns, and role as a key corridor between Madrid and northeastern Spain.
  • D. 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.
  • E. Morata de Tajuña
    Morata de Tajuña is a municipality in the Community of Madrid, central Spain, historically noted for its proximity to key fighting during the Spanish Civil War’s Battle of Jarama.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc325e2548190ae243ae69126e65c completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1ec2bc8190ae88a2010f84e998 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.