Triple

T21955110
Position Surface form Disambiguated ID Type / Status
Subject Louvain-la-Neuve E542166 entity
Predicate hasDistrict P459 FINISHED
Object Centre
Centre is the central district of Louvain-la-Neuve, serving as its main hub for commercial, social, and cultural activities.
E1510924 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: Centre | Statement: [Louvain-la-Neuve, hasDistrict, Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centre
Context triple: [Louvain-la-Neuve, hasDistrict, Centre]
  • A. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • B. Center
    Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
  • C. Central
    Central is a suburban city in East Baton Rouge Parish, Louisiana, known for its residential communities and proximity to Baton Rouge.
  • D. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • E. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • 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: Centre
Triple: [Louvain-la-Neuve, hasDistrict, Centre]
Generated description
Centre is the central district of Louvain-la-Neuve, serving as its main hub for commercial, social, and cultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Centre
Target entity description: Centre is the central district of Louvain-la-Neuve, serving as its main hub for commercial, social, and cultural activities.
  • A. Centre
    Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • B. Center
    Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
  • C. Central
    Central is a suburban city in East Baton Rouge Parish, Louisiana, known for its residential communities and proximity to Baton Rouge.
  • D. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • E. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243f46dc819097e4a1849af7fba4 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a670672b481908b92e15245212e64 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67c29848819080860f13b4c9697b completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a686a0f208190977890119ffcff79 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 7:59 p.m.