Triple

T16699619
Position Surface form Disambiguated ID Type / Status
Subject canton of Algrange E405809 entity
Predicate contains P35 FINISHED
Object Neufchef
Neufchef is a commune in northeastern France’s Moselle department, known for its historical iron mining heritage and rural setting.
 E1231731 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: Neufchef | Statement: [canton of Algrange, contains, Neufchef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neufchef
Context triple: [canton of Algrange, contains, Neufchef]
  • A. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • B. Garmes
    Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
  • C. Baugnez
    Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
  • D. Champfèr
    Champfèr is a small alpine village in the Upper Engadine region of the Swiss canton of Graubünden, known for its scenic lakeside setting near St. Moritz.
  • E. Monchyssoise
    Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
  • 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: Neufchef
Triple: [canton of Algrange, contains, Neufchef]
Generated description
Neufchef is a commune in northeastern France’s Moselle department, known for its historical iron mining heritage and rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neufchef
Target entity description: Neufchef is a commune in northeastern France’s Moselle department, known for its historical iron mining heritage and rural setting.
  • A. Livarchamps
    Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
  • B. Garmes
    Garmes is a surname most notably associated with Lee Garmes, an influential American cinematographer of Hollywood’s classic era.
  • C. Baugnez
    Baugnez is a small hamlet in eastern Belgium best known as the site of the World War II Malmedy massacre during the Battle of the Bulge.
  • D. Champfèr
    Champfèr is a small alpine village in the Upper Engadine region of the Swiss canton of Graubünden, known for its scenic lakeside setting near St. Moritz.
  • E. Monchyssoise
    Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51378788190b9f3bb0a344dcdd8 completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5b3ce848190a73f06d9708bfc85 completed May 10, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00a6734d008190bb0a5aa28826e73a completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:19 a.m.