Triple

T14220077
Position Surface form Disambiguated ID Type / Status
Subject Segre River E352465 entity
Predicate hasTributary P415 FINISHED
Object Noguera Pallaresa E222494 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: Noguera Pallaresa | Statement: [Segre River, hasTributary, Noguera Pallaresa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noguera Pallaresa
Context triple: [Segre River, hasTributary, Noguera Pallaresa]
  • A. Noguera Pallaresa chosen
    Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
  • B. La Garriga
    La Garriga is a municipality in Catalonia, Spain, known for its modernist architecture, thermal baths, and location at the foot of the Montseny massif.
  • C. Pedralbes
    Pedralbes is an affluent residential neighborhood in Barcelona known for its upscale homes, green spaces, and prestigious educational institutions.
  • D. L'Espunyola
    L'Espunyola is a small rural municipality located in the Berguedà comarca in Catalonia, northeastern Spain.
  • E. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6213801c8190a47705cd890b9ae7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324f501081908f7017302bc40b3a completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:06 a.m.