Triple

T9218396
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Province E221297 entity
Predicate containsTown P847 FINISHED
Object Bertrix
Bertrix is a small town in southern Belgium known for its Ardennes forest setting and historical slate quarrying industry.
 E786039 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: Bertrix | Statement: [Luxembourg Province, containsTown, Bertrix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bertrix
Context triple: [Luxembourg Province, containsTown, Bertrix]
  • A. Brecheret
    Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
  • B. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • C. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • D. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • E. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • 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: Bertrix
Triple: [Luxembourg Province, containsTown, Bertrix]
Generated description
Bertrix is a small town in southern Belgium known for its Ardennes forest setting and historical slate quarrying industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bertrix
Target entity description: Bertrix is a small town in southern Belgium known for its Ardennes forest setting and historical slate quarrying industry.
  • A. Brecheret
    Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
  • B. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • C. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • D. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • E. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda730f688190b64b2cc8c4898ac3 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662427dc81908cb9bfacc5b9e0f5 completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d0697b506c8190b14acbec1266f4bc completed April 4, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_69d06a01520081908f697cf285c88c00 completed April 4, 2026, 1:31 a.m.
Created at: March 30, 2026, 7:27 p.m.