Triple

T11110389
Position Surface form Disambiguated ID Type / Status
Subject Stoumont E262738 entity
Predicate contains P35 FINISHED
Object Quarreux
Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
 E905662 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: Quarreux | Statement: [Stoumont, contains, Quarreux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quarreux
Context triple: [Stoumont, contains, Quarreux]
  • A. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • B. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • C. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • D. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • E. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • 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: Quarreux
Triple: [Stoumont, contains, Quarreux]
Generated description
Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quarreux
Target entity description: Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • A. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • B. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • C. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • D. Muriaux
    Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
  • E. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • 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.