Triple

T1788274
Position Surface form Disambiguated ID Type / Status
Subject Silves E39437 entity
Predicate locatedOnRiver P165 FINISHED
Object Arade River E205553 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: Arade River | Statement: [Silves, locatedOnRiver, Arade River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arade River
Context triple: [Silves, locatedOnRiver, Arade River]
  • A. Arade River chosen
    The Arade River is a waterway in Portugal’s Algarve region that flows through towns such as Portimão before reaching the Atlantic Ocean.
  • B. Buëch River
    The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
  • C. Gediz River
    The Gediz River is a major river in western Turkey that flows into the Aegean Sea near the city of Izmir.
  • D. Deûle River
    The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
  • E. Epte River
    The Epte River is a tributary of the Seine in northern France, renowned as a frequent subject in Claude Monet’s Impressionist landscapes.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650fd3448190a6a2c979db982cae completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fc41d248190a149252940dbdb27 completed March 9, 2026, 1:17 a.m.
Created at: March 4, 2026, 7:32 p.m.