Triple

T1812945
Position Surface form Disambiguated ID Type / Status
Subject Dordrecht E40368 entity
Predicate riverConfluence P11843 FINISHED
Object Noord E138435 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: Noord | Statement: [Dordrecht, riverConfluence, Noord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noord
Context triple: [Dordrecht, riverConfluence, Noord]
  • A. Noord chosen
    Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
  • B. Nord
    Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
  • C. the North
    The North was the collective term for the U.S. states that remained loyal to the Union during the American Civil War, characterized by industrialization and opposition to the expansion of slavery.
  • D. North
    North is an English surname historically associated with several notable figures in British politics and society.
  • E. North
    North is a 1975 poetry collection by Nobel laureate Seamus Heaney that explores themes of Irish history, violence, and identity through mythic and archaeological imagery.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c775408190b4f5912786720e28 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5e5142c8190bc90da38b02e95e2 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.