Triple

T26979435
Position Surface form Disambiguated ID Type / Status
Subject Schoten E679554 entity
Predicate hasCulturalEvent P2955 FINISHED
Object World Festival of Folklore Schoten
The World Festival of Folklore Schoten is an international folklore event in Schoten, Belgium, where dance and music groups from around the world showcase traditional cultures.
E1751514 NE FINISHED

How this triple was built (2 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: World Festival of Folklore Schoten | Statement: [Schoten, hasCulturalEvent, World Festival of Folklore Schoten]
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: World Festival of Folklore Schoten
Triple: [Schoten, hasCulturalEvent, World Festival of Folklore Schoten]
Generated description
The World Festival of Folklore Schoten is an international folklore event in Schoten, Belgium, where dance and music groups from around the world showcase traditional cultures.

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_69eeeb507a7081909d516e1fa08b7d29 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62155628081908c4189b988951ad6 completed May 2, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229b026608190a4a9eca2e441ed3c completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122aeac3408190b6554fe7543f1fff completed May 23, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_6a122c820ad481908941c790fa6f3798 completed May 23, 2026, 10:38 p.m.
Created at: April 27, 2026, 6:44 a.m.