Triple

T20046238
Position Surface form Disambiguated ID Type / Status
Subject Guaíba Lake E497564 entity
Predicate receivesWaterFrom P415 FINISHED
Object Caí River E495351 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: Caí River | Statement: [Guaíba Lake, receivesWaterFrom, Caí River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caí River
Context triple: [Guaíba Lake, receivesWaterFrom, Caí River]
  • A. Caí River chosen
    The Caí River is a waterway in the state of Rio Grande do Sul in southern Brazil that flows through the region near Porto Alegre and contributes to the local watershed and economy.
  • B. Dragone River
    The Dragone River is a small coastal stream on Italy’s Amalfi Coast whose narrow valley hosts the picturesque village of Atrani.
  • C. Sayong River
    The Sayong River is a smaller waterway in the Malaysian state of Johor that feeds into and helps drain the larger Johor River basin.
  • D. Vina River
    The Vina River is a tributary watercourse in Central Africa that feeds into the Logone River within the Lake Chad basin.
  • E. Guagua River
    Guagua River is a waterway associated with the municipality of Guagua in the province of Pampanga, Philippines.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632a5e888190ade41657ffd057f6 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081603b36c8190b82688c3235fc794 completed May 16, 2026, 7 a.m.
Created at: April 11, 2026, 3:37 p.m.