Triple

T10619460
Position Surface form Disambiguated ID Type / Status
Subject Visé E295669 entity
Predicate hasSubdivision P747 FINISHED
Object Lixhe
Lixhe is a village in the municipality of Visé in the province of Liège, Belgium, situated along the Meuse River near the Dutch border.
 E875480 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: Lixhe | Statement: [Visé, hasSubdivision, Lixhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lixhe
Context triple: [Visé, hasSubdivision, Lixhe]
  • A. Peize
    Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
  • B. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • C. Laghée
    Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
  • D. Vavin
    Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
  • E. Liré
    Liré is a village in western France, historically notable as the birthplace of Renaissance poet Joachim du Bellay.
  • 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: Lixhe
Triple: [Visé, hasSubdivision, Lixhe]
Generated description
Lixhe is a village in the municipality of Visé in the province of Liège, Belgium, situated along the Meuse River near the Dutch border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lixhe
Target entity description: Lixhe is a village in the municipality of Visé in the province of Liège, Belgium, situated along the Meuse River near the Dutch border.
  • A. Peize
    Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
  • B. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • C. Laghée
    Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
  • D. Vavin
    Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
  • E. Liré
    Liré is a village in western France, historically notable as the birthplace of Renaissance poet Joachim du Bellay.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b86a5bc8190863034cc91fdbbb9 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 8:21 p.m.