Triple

T16456241
Position Surface form Disambiguated ID Type / Status
Subject Dieze E399687 entity
Predicate hasMouth P1008 FINISHED
Object Dommel E90861 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: Dommel | Statement: [Dieze, hasMouth, Dommel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dommel
Context triple: [Dieze, hasMouth, Dommel]
  • A. Dommel chosen
    The Dommel is a river in the southern Netherlands and northern Belgium that flows through cities including Eindhoven before joining the Dieze.
  • B. Emstek
    Emstek is a municipality in Lower Saxony, Germany, situated in the district of Cloppenburg and known for its rural character and agricultural economy.
  • 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. Diemel
    The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
  • E. River Ock
    River Ock is a small river in Oxfordshire, England, that flows through the Vale of White Horse before joining the River Thames.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7d3bf4819092d5bff6de0859e8 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679d15b08190b4e70e4337bff88d completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:10 a.m.