Triple

T7407280
Position Surface form Disambiguated ID Type / Status
Subject Ludwigshafen am Rhein E170906 entity
Predicate twinTown P1072 FINISHED
Object Ludwigshafen (France) E296447 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: Ludwigshafen (France) | Statement: [Ludwigshafen am Rhein, twinTown, Ludwigshafen (France)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ludwigshafen (France)
Context triple: [Ludwigshafen am Rhein, twinTown, Ludwigshafen (France)]
  • A. Offenbach
    Offenbach was a 19th-century German-French composer best known for his pioneering operettas, including "Orpheus in the Underworld" and "La Belle Hélène."
  • B. Ludwigshafen am Rhein
    Ludwigshafen am Rhein is an industrial city in southwestern Germany on the Rhine River, best known as the headquarters of the chemical company BASF.
  • C. Forbach chosen
    Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
  • D. Mulhouse
    Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
  • E. Altkirch
    Altkirch is a small historic town in northeastern France that serves as an administrative and cultural center in the Alsace region.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f298f2388190afc944c9bc78749a completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111adbf48190a04df3cec1017b39 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.