Triple

T19423995
Position Surface form Disambiguated ID Type / Status
Subject De Rotterdam E485932 entity
Predicate locatedOn P40 FINISHED
Object Maas 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: Maas River | Statement: [De Rotterdam, locatedOn, Maas River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maas River
Context triple: [De Rotterdam, locatedOn, Maas River]
  • A. Maas River chosen
    The Maas River is a major European waterway flowing through France, Belgium, and the Netherlands, known for its historical role in trade and its extensive delta in the Low Countries.
  • B. Kwanza River
    The Kwanza River is one of Angola’s longest and most important rivers, historically vital for transport, agriculture, and hydroelectric power in the country.
  • C. Kama River
    The Kama River is a major waterway in western Russia that serves as one of the largest and most significant tributaries of the Volga River.
  • D. Mula River
    The Mula River is a major river in the Indian state of Maharashtra that flows through the city of Pune and forms part of its urban river system.
  • E. Mula River
    The Mula River is a watercourse in southeastern Spain that flows through the Region of Murcia before joining the Segura River.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e632169d9c81909a88704c6beb8fe0 completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.