Triple

T3172289
Position Surface form Disambiguated ID Type / Status
Subject Oggersheim E66380 entity
Predicate hasSubdivisionOf P19236 FINISHED
Object Ludwigshafen am Rhein E170906 NE FINISHED

How this triple was built (3 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: Ludwigshafen am Rhein | Statement: [Oggersheim, hasSubdivisionOf, Ludwigshafen am Rhein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ludwigshafen am Rhein
Context triple: [Oggersheim, hasSubdivisionOf, Ludwigshafen am Rhein]
  • A. Ludwigshafen am Rhein chosen
    Ludwigshafen am Rhein is an industrial city in southwestern Germany on the Rhine River, best known as the headquarters of the chemical company BASF.
  • B. Ingelheim am Rhein
    Ingelheim am Rhein is a town in western Germany on the Rhine River, known historically as an imperial residence of Charlemagne and today for its wine production and pharmaceutical industry.
  • C. Mannheim
    Mannheim is a major city in southwestern Germany, known as an important industrial, commercial, and cultural center at the confluence of the Rhine and Neckar rivers.
  • D. Koblenz
    Koblenz is a historic German city in Rhineland-Palatinate, known for its strategic location at the confluence of the Rhine and Moselle rivers and its well-preserved fortresses and old town.
  • E. Duisburg
    Duisburg is a major industrial and port city in western Germany’s Ruhr region, known for its steel production and one of the world’s largest inland harbors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSubdivisionOf
Context triple: [Oggersheim, hasSubdivisionOf, Ludwigshafen am Rhein]
  • A. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • B. formerSubdivisionOf
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • C. representsSubdivisionOf chosen
    Indicates that one administrative or territorial unit is a smaller, constituent part of a larger administrative or territorial unit.
  • D. hasHighestLevelSubdivisionOf
    Indicates that one entity is the topmost or primary first-level administrative or territorial subdivision of another entity.
  • E. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • F. None of above.

Provenance (4 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66da23c81908f063b44b48b1e53 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3b513248190a94c2f7642151515 completed March 12, 2026, 5:11 p.m.
PD Predicate disambiguation batch_69ad9e0076b4819094628f1ad10b8f68 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.