Triple

T2355545
Position Surface form Disambiguated ID Type / Status
Subject Emsland E47544 entity
Predicate namedAfter P63 FINISHED
Object River Ems E34843 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: River Ems | Statement: [Emsland, namedAfter, River Ems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Ems
Context triple: [Emsland, namedAfter, River Ems]
  • A. Ems chosen
    The Ems is a river in northwestern Germany that flows through several states before emptying into the North Sea.
  • B. Rheine
    Rheine is a German city in the state of North Rhine-Westphalia, known for its historical town center and location along the River Ems.
  • C. Erft River
    The Erft River is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and known for passing historic towns and former mining areas before joining the Rhine near Neuss.
  • D. Weser
    The Weser is a major river in northwestern Germany that flows through several federal states before emptying into the North Sea.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2248bcb68819095e52fea4cd5692c completed March 12, 2026, 2:27 a.m.
Created at: March 4, 2026, 7:54 p.m.