Triple

T11326850
Position Surface form Disambiguated ID Type / Status
Subject Gouvy E268242 entity
Predicate hasSettlement P1068 FINISHED
Object Limerlé
Limerlé is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
 E919307 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: Limerlé | Statement: [Gouvy, hasSettlement, Limerlé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Limerlé
Context triple: [Gouvy, hasSettlement, Limerlé]
  • A. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • B. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • C. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • D. Parempuyre
    Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
  • E. Libatique
    Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
  • 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: Limerlé
Triple: [Gouvy, hasSettlement, Limerlé]
Generated description
Limerlé is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Limerlé
Target entity description: Limerlé is a village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • A. Tatihou
    Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
  • B. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • C. Le Bry
    Le Bry is a Swiss municipality located in the canton of Fribourg, known for its proximity to the scenic Lake of Gruyère in the Gruyère region.
  • D. Parempuyre
    Parempuyre is a commune in southwestern France known for its location near Bordeaux and its role in the Médoc wine-producing region.
  • E. Libatique
    Libatique is the surname of Matthew Libatique, an acclaimed American cinematographer known for his work on films such as "Black Swan" and "Requiem for a Dream."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e52608b7348190875597513ca1a995 completed April 19, 2026, 6:59 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531c2a4b88190bb1efd57536bae9a completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.