Triple

T5877236
Position Surface form Disambiguated ID Type / Status
Subject Aa E130655 entity
Predicate mouthOfWatercourse P3817 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: [Aa, mouthOfWatercourse, Dommel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dommel
Context triple: [Aa, mouthOfWatercourse, 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. 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.
  • C. Diemel
    The Diemel is a river in central Germany that flows through Hesse and North Rhine-Westphalia before joining the Weser.
  • D. River Ock
    River Ock is a small river in Oxfordshire, England, that flows through the Vale of White Horse before joining the River Thames.
  • E. Dieuze
    Dieuze is a small commune in northeastern France, located in the Moselle department in the historical region of Lorraine.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03630eefc8190ad1aaa1919ecf97f completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e377e1108190b0820f92eab012c2 completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:57 p.m.