Triple

T10619573
Position Surface form Disambiguated ID Type / Status
Subject Wanze E295672 entity
Predicate hasMunicipalSection P10450 FINISHED
Object Moha
Moha is a village and municipal section within the municipality of Wanze in the province of Liège, Belgium.
 E875506 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: Moha | Statement: [Wanze, hasMunicipalSection, Moha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moha
Context triple: [Wanze, hasMunicipalSection, Moha]
  • A. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • B. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • C. Lomu
    Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
  • D. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • E. Muyuka
    Muyuka is a town in Cameroon known as an agricultural and trading center in the country's Anglophone southwest.
  • 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: Moha
Triple: [Wanze, hasMunicipalSection, Moha]
Generated description
Moha is a village and municipal section within the municipality of Wanze in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moha
Target entity description: Moha is a village and municipal section within the municipality of Wanze in the province of Liège, Belgium.
  • A. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • B. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • C. Lomu
    Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
  • D. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • E. Muyuka
    Muyuka is a town in Cameroon known as an agricultural and trading center in the country's Anglophone southwest.
  • 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_69d6df6fc47c8190b77b61a7fd223d65 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.