Triple

T30753929
Position Surface form Disambiguated ID Type / Status
Subject Saga City E783028 entity
Predicate knownFor P22 FINISHED
Object Saga International Balloon Fiesta
The Saga International Balloon Fiesta is one of the largest hot air balloon festivals in Asia, held annually in Saga Prefecture, Japan, attracting balloonists and spectators from around the world.
E1928035 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: Saga International Balloon Fiesta | Statement: [Saga City, knownFor, Saga International Balloon Fiesta]
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: Saga International Balloon Fiesta
Triple: [Saga City, knownFor, Saga International Balloon Fiesta]
Generated description
The Saga International Balloon Fiesta is one of the largest hot air balloon festivals in Asia, held annually in Saga Prefecture, Japan, attracting balloonists and spectators from around the world.

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_69f224af8d8481908bea03890c5618be completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68f93f8b48190aebe0bbbd662f07b completed May 2, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2899245c0c819088509d039cf739d4 completed June 9, 2026, 10:52 p.m.
NEDg Description generation batch_6a2899e345f8819098c5601b155a8958 completed June 9, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_6a289ad889f8819081a06ba9e3e19f1d completed June 9, 2026, 10:59 p.m.
Created at: April 29, 2026, 8:39 p.m.