Triple

T16382573
Position Surface form Disambiguated ID Type / Status
Subject Amerongen weir E397843 entity
Predicate nearbyCity P350 FINISHED
Object Rhenen E323464 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: Rhenen | Statement: [Amerongen weir, nearbyCity, Rhenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhenen
Context triple: [Amerongen weir, nearbyCity, Rhenen]
  • A. Rhenen chosen
    Rhenen is a historic town and municipality in the central Netherlands, known for its scenic location along the Rhine and landmarks such as the Cunera Church and Ouwehands Zoo.
  • B. Rheinberg
    Rheinberg is a historic town in western Germany, situated on the Lower Rhine and known for its medieval architecture and role in various European military conflicts.
  • C. Rheindahlen
    Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
  • D. Ysselsteyn
    Ysselsteyn is a village in the Dutch province of Limburg, known for its large German war cemetery and agricultural surroundings.
  • E. Den Briel
    Den Briel (Brielle) is a historic Dutch town and seaport in South Holland, known for its role in the Eighty Years' War and as the birthplace of admiral Maarten Tromp.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319ddcef08190a2081855b5cf6762 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c55bba481909bca6cc17e1dfcf5 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.