Triple

T4671525
Position Surface form Disambiguated ID Type / Status
Subject Southwestern Germany E102972 entity
Predicate contains P35 FINISHED
Object Mainz E188859 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: Mainz | Statement: [Southwestern Germany, contains, Mainz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mainz
Context triple: [Southwestern Germany, contains, Mainz]
  • A. Mainz chosen
    Mainz is a historic German city on the Rhine River known as a major ecclesiastical and political center of the Holy Roman Empire and today as the capital of the state of Rhineland-Palatinate.
  • B. 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.
  • 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. Speyer
    Speyer is a historic city in southwestern Germany on the Rhine River, renowned for its Romanesque imperial cathedral, a UNESCO World Heritage Site.
  • E. Mainz-Kostheim
    Mainz-Kostheim is a district of the city of Wiesbaden in Germany, located at the confluence of the Main and Rhine rivers opposite the city of Mainz.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63506090819083ff8271adc5ef75 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c673e0dbdc81909745d2a35bd53f88 completed March 27, 2026, 12:11 p.m.
Created at: March 20, 2026, 1:15 p.m.