Triple

T4511001
Position Surface form Disambiguated ID Type / Status
Subject Delfzijl E102053 entity
Predicate locatedOn P40 FINISHED
Object Ems River 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: Ems River | Statement: [Delfzijl, locatedOn, Ems River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ems River
Context triple: [Delfzijl, locatedOn, Ems River]
  • A. Ems
    Ems is a historic spa town in present-day Germany, renowned for its mineral springs and 19th-century status as a fashionable European resort.
  • B. Ems chosen
    The Ems is a river in northwestern Germany that flows through several states before emptying into the North Sea.
  • C. 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.
  • D. Rhine
    The Rhine is one of Europe's most important rivers, historically serving as a vital trade route and cultural boundary from the Alps through Germany to the North Sea.
  • E. 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.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5712b9308190876c117b50d12635 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89b9fcbc8190868b8d0584e94118 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:01 p.m.