Triple

T7502906
Position Surface form Disambiguated ID Type / Status
Subject Zaanstad E177308 entity
Predicate hasRiver P165 FINISHED
Object Zaan E690650 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: Zaan | Statement: [Zaanstad, hasRiver, Zaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaan
Context triple: [Zaanstad, hasRiver, Zaan]
  • A. Zaan River chosen
    The Zaan River is a waterway in North Holland, Netherlands, historically known for its early industrial development and iconic windmill-lined banks in the Zaan region.
  • B. Dieuze
    Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
  • C. Waal
    The Waal is a major distributary branch of the Rhine River in the Netherlands, serving as an important waterway for shipping and part of the country’s main river system.
  • D. Beneden Merwede
    Beneden Merwede is a major distributary branch of the Rhine–Meuse river system in the western Netherlands, important for inland shipping and regional water management.
  • E. Geul
    The Geul is a small river in the southeastern Netherlands and eastern Belgium, known for flowing through the hilly Limburg landscape and picturesque villages before joining the Meuse.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59be2748190ad8e94179f594e51 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9494351488190852b600d9666d1eb completed March 29, 2026, 3:46 p.m.
Created at: March 27, 2026, 3:44 p.m.