Triple

T30118983
Position Surface form Disambiguated ID Type / Status
Subject Hokkaidō Shrine E765503 entity
Predicate knownFor P22 FINISHED
Object Sapporo Festival
The Sapporo Festival is a major annual Shinto celebration in Sapporo featuring traditional processions, food stalls, and cultural performances centered around Hokkaidō Shrine.
E1900050 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: Sapporo Festival | Statement: [Hokkaidō Shrine, knownFor, Sapporo Festival]
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: Sapporo Festival
Triple: [Hokkaidō Shrine, knownFor, Sapporo Festival]
Generated description
The Sapporo Festival is a major annual Shinto celebration in Sapporo featuring traditional processions, food stalls, and cultural performances centered around Hokkaidō Shrine.

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_69f2247716748190ae4f16998f49ddf1 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67de8f6108190927e2d68b875d99b completed May 2, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27433c26bc8190a186c1ecd7281b61 completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a27446224a48190867d0b5eccdbc706 completed June 8, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_6a2744c1a1d881908e1e9a00a065a253 completed June 8, 2026, 10:40 p.m.
Created at: April 29, 2026, 7:12 p.m.