Triple

T15990803
Position Surface form Disambiguated ID Type / Status
Subject historic center of Tavira E387818 entity
Predicate traversedBy P225 FINISHED
Object Gilão River E95988 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: Gilão River | Statement: [historic center of Tavira, traversedBy, Gilão River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilão River
Context triple: [historic center of Tavira, traversedBy, Gilão River]
  • A. Gilão River chosen
    The Gilão River is a waterway in Portugal’s Algarve region that flows through the historic town of Tavira before reaching the Atlantic Ocean.
  • B. Itanhaém River
    The Itanhaém River is a waterway in the state of São Paulo, Brazil, that flows through the municipality of Itanhaém before reaching the Atlantic Ocean.
  • C. Taquari River
    The Taquari River is a significant waterway in central-western Brazil that flows through the Pantanal wetlands before joining the Paraguay River.
  • D. Taquari River
    The Taquari River is a significant waterway in southern Brazil that flows through the Vale do Taquari region, supporting local agriculture, transportation, and communities.
  • E. Paraopeba River
    The Paraopeba River is a significant waterway in southeastern Brazil that flows through the state of Minas Gerais and contributes substantially to the São Francisco River basin.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157835cac81909e979f9be281f328 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff293c2248190993d5d74eaf626bc completed May 10, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:54 a.m.