Triple

T20641211
Position Surface form Disambiguated ID Type / Status
Subject Belgian coal basin E507227 entity
Predicate hasHeritageSite P923 FINISHED
Object Grand-Hornu NE NERFINISHED

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: Grand-Hornu | Statement: [Belgian coal basin, hasHeritageSite, Grand-Hornu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand-Hornu
Context triple: [Belgian coal basin, hasHeritageSite, Grand-Hornu]
  • A. Grand-Hornu chosen
    Grand-Hornu is a former 19th-century coal mining and industrial complex in Belgium, renowned for its pioneering neoclassical architecture and now serving as a major cultural and heritage site.
  • B. Hirson
    Hirson is a commune in northern France known for its location near the Belgian border and its historical role as a regional railway junction.
  • C. Hautepierre
    Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
  • D. Muntelier
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • E. Larroquette
    Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad132ebc8190b557914cf31a9033 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:43 a.m.