Triple

T17801018
Position Surface form Disambiguated ID Type / Status
Subject Rio Séqua E444424 entity
Predicate alsoKnownAs P39 FINISHED
Object Gilão River NE NERFINISHED

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: [Rio Séqua, alsoKnownAs, Gilão River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilão River
Context triple: [Rio Séqua, alsoKnownAs, 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 (2 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487ff42108190b82ceb4466aa2dff completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.