Triple

T13339080
Position Surface form Disambiguated ID Type / Status
Subject Hotton E317776 entity
Predicate hasPart P35 FINISHED
Object Melreux
Melreux is a village in the municipality of Hotton in the Belgian province of Luxembourg, known for its rural setting in the Ardennes region.
E1034519 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: Melreux | Statement: [Hotton, hasPart, Melreux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melreux
Context triple: [Hotton, hasPart, Melreux]
  • A. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • B. Demarete
    Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
  • C. Morlon
    Morlon is a small municipality in the canton of Fribourg in western Switzerland, situated on the shores of the artificial Lake of Gruyère.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Cloux
    Cloux is the former name of Clos Lucé, the historic château in Amboise, France, best known as Leonardo da Vinci’s final residence.
  • 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: Melreux
Triple: [Hotton, hasPart, Melreux]
Generated description
Melreux is a village in the municipality of Hotton in the Belgian province of Luxembourg, known for its rural setting in the Ardennes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melreux
Target entity description: Melreux is a village in the municipality of Hotton in the Belgian province of Luxembourg, known for its rural setting in the Ardennes region.
  • A. Heustreu
    Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
  • B. Demarete
    Demarete was a 5th-century BCE Greek queen of Syracuse, known as the wife of the tyrant Gelon and remembered for her political influence and legendary generosity after the Battle of Himera.
  • C. Morlon
    Morlon is a small municipality in the canton of Fribourg in western Switzerland, situated on the shores of the artificial Lake of Gruyère.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Cloux
    Cloux is the former name of Clos Lucé, the historic château in Amboise, France, best known as Leonardo da Vinci’s final residence.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f3ecf4c8190bb9eee699859dc08 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f72018c4848190941732e3a938278a completed May 3, 2026, 10:14 a.m.
NED2 Entity disambiguation (via description) batch_69f720bf04548190833af70061b017a1 completed May 3, 2026, 10:17 a.m.
Created at: April 9, 2026, 9:31 p.m.