Triple

T5063694
Position Surface form Disambiguated ID Type / Status
Subject Rivera E114090 entity
Predicate hasVariant P455 FINISHED
Object Ribeira E430748 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: Ribeira | Statement: [Rivera, hasVariant, Ribeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ribeira
Context triple: [Rivera, hasVariant, Ribeira]
  • A. Ribeira chosen
    Ribeira is a historic riverside district in Porto, Portugal, known for its narrow medieval streets, colorful buildings, and vibrant waterfront atmosphere along the Douro River.
  • B. Gallego River
    The Gallego River is a significant river in northeastern Spain that flows through the Aragon region before joining the Ebro River.
  • C. Ribeira da Torre
    Ribeira da Torre is a scenic, steep-sided valley and river gorge on the island of Santo Antão in Cape Verde, known for its dramatic landscapes and terraced agriculture.
  • D. Acesines River
    The Acesines River, known today as the Chenab River, is a major river of the northwestern Indian subcontinent that was a key geographic feature during Alexander the Great’s Indian campaign.
  • E. Bernesga River
    The Bernesga River is a watercourse in northwestern Spain that flows through the city of León before joining the Esla 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd747756bc8190863c426e6fd6e8f7 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.