Triple

T6212689
Position Surface form Disambiguated ID Type / Status
Subject Ardennes American Cemetery E138907 entity
Predicate near P350 FINISHED
Object Liege, Belgium E142916 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: Liege, Belgium | Statement: [Ardennes American Cemetery, near, Liege, Belgium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liege, Belgium
Context triple: [Ardennes American Cemetery, near, Liege, Belgium]
  • A. Mons, Belgium
    Mons, Belgium is a historic city in the Wallonia region that serves as a key military and administrative hub, notably hosting major NATO institutions.
  • B. La Hulpe, Belgium
    La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
  • C. Liège chosen
    Liège is a major city in eastern Belgium known for its industrial heritage, vibrant cultural scene, and position along the Meuse River.
  • D. Limburg (Belgium)
    Limburg (Belgium) is a Dutch-speaking province in northeastern Belgium known for its green landscapes, cycling routes, and historic towns such as Hasselt and Tongeren.
  • E. Genk, Belgium
    Genk, Belgium is an industrial city in the province of Limburg known for its former Ford automobile plant and its role as a regional economic and transportation hub.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628c52ec8190b9c62c7fdc0aa83b completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243e2d82c8190bacc282589d28b78 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:21 p.m.