Triple

T15937265
Position Surface form Disambiguated ID Type / Status
Subject Major Mining Sites of Wallonia E386469 entity
Predicate hasPart P35 FINISHED
Object Bois du Cazier E423775 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: Bois du Cazier | Statement: [Major Mining Sites of Wallonia, hasPart, Bois du Cazier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bois du Cazier
Context triple: [Major Mining Sites of Wallonia, hasPart, Bois du Cazier]
  • A. Bois du Cazier chosen
    Bois du Cazier is a former coal mine in Marcinelle, Belgium, now preserved as a museum and memorial site best known for the 1956 mining disaster that killed 262 miners.
  • B. Plomb du Cantal
    Plomb du Cantal is the highest peak in France’s Cantal Mountains, known for its volcanic origins and panoramic views over the Massif Central.
  • C. Le Sauze
    Le Sauze is a French alpine ski resort village located in the southern Alps within the Ubaye Valley, known for its family-friendly slopes and sunny climate.
  • D. Mont-Dore
    Mont-Dore is a spa and ski resort town in central France’s Massif Central, known for its thermal springs and access to the nearby volcanic landscapes.
  • E. Mont-Dore
    Mont-Dore is a coastal commune and suburb of Nouméa in New Caledonia, known for its mountainous landscapes and residential areas.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ab7f548190b2d1aafa0e6d2c24 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b8121881909b15bf6451d3d3a8 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.