Triple

T17427453
Position Surface form Disambiguated ID Type / Status
Subject Bois du Cazier E423775 entity
Predicate locatedIn P40 FINISHED
Object Marcinelle
Marcinelle is a district of Charleroi in Wallonia, Belgium, historically known as a coal-mining community and the site of the 1956 Bois du Cazier mining disaster.
E1270075 NE FINISHED

How this triple was built (4 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: Marcinelle | Statement: [Bois du Cazier, locatedIn, Marcinelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcinelle
Context triple: [Bois du Cazier, locatedIn, Marcinelle]
  • A. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • B. Malmedy
    Malmedy is a historic town and municipality in eastern Belgium, known for its Ardennes setting, traditional carnival, and proximity to the Battle of the Bulge sites.
  • C. Martelange
    Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
  • D. Wytschaete
    Wytschaete is a village in West Flanders, Belgium, that was a strategically important position on the Western Front during World War I.
  • E. Jamoigne
    Jamoigne is a village and district in the municipality of Chiny in the Walloon region of southern Belgium.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marcinelle
Triple: [Bois du Cazier, locatedIn, Marcinelle]
Generated description
Marcinelle is a district of Charleroi in Wallonia, Belgium, historically known as a coal-mining community and the site of the 1956 Bois du Cazier mining disaster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marcinelle
Target entity description: Marcinelle is a district of Charleroi in Wallonia, Belgium, historically known as a coal-mining community and the site of the 1956 Bois du Cazier mining disaster.
  • A. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • B. Malmedy
    Malmedy is a historic town and municipality in eastern Belgium, known for its Ardennes setting, traditional carnival, and proximity to the Battle of the Bulge sites.
  • C. Martelange
    Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
  • D. Wytschaete
    Wytschaete is a village in West Flanders, Belgium, that was a strategically important position on the Western Front during World War I.
  • E. Jamoigne
    Jamoigne is a village and district in the municipality of Chiny in the Walloon region of southern Belgium.
  • F. None of above. chosen

Provenance (5 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fdc1348190985db52c8c74c394 completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01b81807b08190baf1794b6e6b4bf6 completed May 11, 2026, 11:06 a.m.
NEDg Description generation batch_6a01b8b8785081909b154331f92e2957 completed May 11, 2026, 11:08 a.m.
NED2 Entity disambiguation (via description) batch_6a01b9343028819082933b51bb092b3d completed May 11, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:46 a.m.