Triple

T11110380
Position Surface form Disambiguated ID Type / Status
Subject Stoumont E262738 entity
Predicate contains P35 FINISHED
Object La Gleize
La Gleize is a village in the Belgian Ardennes best known as a major battlefield of the Battle of the Bulge during World War II.
 E905660 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: La Gleize | Statement: [Stoumont, contains, La Gleize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Gleize
Context triple: [Stoumont, contains, La Gleize]
  • A. Le Roeulx
    Le Roeulx is a historic town in the province of Hainaut in Wallonia, Belgium, known for its castle, traditional architecture, and proximity to the Canal du Centre.
  • B. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • C. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • D. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • E. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • 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: La Gleize
Triple: [Stoumont, contains, La Gleize]
Generated description
La Gleize is a village in the Belgian Ardennes best known as a major battlefield of the Battle of the Bulge during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Gleize
Target entity description: La Gleize is a village in the Belgian Ardennes best known as a major battlefield of the Battle of the Bulge during World War II.
  • A. Le Roeulx
    Le Roeulx is a historic town in the province of Hainaut in Wallonia, Belgium, known for its castle, traditional architecture, and proximity to the Canal du Centre.
  • B. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • C. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • D. Lalumière
    Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • E. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.