Triple

T6637137
Position Surface form Disambiguated ID Type / Status
Subject El Prat de Llobregat E150485 entity
Predicate borderedBy P224 FINISHED
Object Llobregat River E606987 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: Llobregat River | Statement: [El Prat de Llobregat, borderedBy, Llobregat River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llobregat River
Context triple: [El Prat de Llobregat, borderedBy, Llobregat River]
  • A. Llobregat River chosen
    The Llobregat River is a major river in northeastern Spain that flows through Catalonia to the Mediterranean Sea near Barcelona.
  • B. Baix Llobregat
    Baix Llobregat is a coastal comarca in Catalonia, Spain, located just southwest of Barcelona and known for its mix of industrial areas, agricultural plains, and growing residential suburbs.
  • C. Ebro River
    The Ebro River is one of the longest and most significant rivers in Spain, flowing eastward across the northern Iberian Peninsula to the Mediterranean Sea.
  • D. Río Turia
    Río Turia is a river in eastern Spain that flows through the city of Valencia before emptying into the Mediterranean Sea.
  • E. El Prat de Llobregat
    El Prat de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for hosting the city's main international airport.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcf439c8190b9334b34774da821 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eeed01608190bbc6461ac8c3cadb completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:59 p.m.