Triple

T16932494
Position Surface form Disambiguated ID Type / Status
Subject Gandesa E410744 entity
Predicate hasNearbyMunicipality P4647 FINISHED
Object Corbera d'Ebre E407875 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: Corbera d'Ebre | Statement: [Gandesa, hasNearbyMunicipality, Corbera d'Ebre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corbera d'Ebre
Context triple: [Gandesa, hasNearbyMunicipality, Corbera d'Ebre]
  • A. Corbera d'Ebre chosen
    Corbera d'Ebre is a municipality in Catalonia, Spain, known for its preserved Spanish Civil War ruins and historical significance.
  • B. Corbera de Llobregat
    Corbera de Llobregat is a municipality in the province of Barcelona, in Catalonia, Spain, known for its hilly landscape and proximity to the Llobregat river basin.
  • C. Puig Morei
    Puig Morei is the highest peak of the Serra de Llevant mountain range on the island of Mallorca, Spain.
  • D. Vilassar de Mar
    Vilassar de Mar is a coastal town and municipality on the Mediterranean in the Maresme comarca of Catalonia, Spain, known for its beaches and residential character.
  • E. Corberó
    Corberó is a Spanish surname most notably associated with actress Úrsula Corberó, known internationally for her role in the series "Money Heist" (La Casa de Papel).
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2650e08190b669d0cf2cf1275b completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe0ff608190903d0e64e04b1550 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:30 a.m.