Triple

T11790649
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg railway network E280377 entity
Predicate connectsCity P4245 FINISHED
Object Bettembourg E954138 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: Bettembourg | Statement: [Luxembourg railway network, connectsCity, Bettembourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bettembourg
Context triple: [Luxembourg railway network, connectsCity, Bettembourg]
  • A. Bettembourg chosen
    Bettembourg is a town in southern Luxembourg known as a key railway junction and border-crossing point on the national rail network.
  • B. Sarrebourg
    Sarrebourg is a small historic town in northeastern France known for its cultural heritage and location in the Moselle department of the Grand Est region.
  • C. Bitburg
    Bitburg is a town in western Germany’s Eifel region, best known internationally for its Bitburger brewery and its nearby World War II military cemetery.
  • D. Ettelbruck
    Ettelbruck is a town in north-central Luxembourg known for its strategic role in World War II and its commemoration of the country’s liberation.
  • E. Obernai
    Obernai is a historic Alsatian town in northeastern France known for its well-preserved medieval architecture, wine production, and picturesque setting along the Alsace Wine Route.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a588d2c881909783c2d678c2a474 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6344d86648190ad270517b36c8815 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:42 p.m.