Triple

T6574490
Position Surface form Disambiguated ID Type / Status
Subject Duke of Cleves E155524 entity
Predicate territoryIncludes P285 FINISHED
Object Emmerich am Rhein E122825 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: Emmerich am Rhein | Statement: [Duke of Cleves, territoryIncludes, Emmerich am Rhein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmerich am Rhein
Context triple: [Duke of Cleves, territoryIncludes, Emmerich am Rhein]
  • A. Emmerich am Rhein chosen
    Emmerich am Rhein is a German town on the Rhine River near the Dutch border, known for its historic center and prominent Rhine bridge.
  • B. Bingen am Rhein
    Bingen am Rhein is a historic town in Germany’s Rhineland-Palatinate, known as a gateway to the scenic Upper Middle Rhine Valley with its castles, vineyards, and river landscapes.
  • C. Rheinhausen
    Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
  • D. 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.
  • E. Kappelrodeck
    Kappelrodeck is a municipality in southwestern Germany known for its wine-growing tradition and scenic location at the edge of the Black Forest.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7134708190a0355519d117ab9c completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56d204c819098428507da28a9d5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.