Triple

T27199504
Position Surface form Disambiguated ID Type / Status
Subject Sannō Matsuri E683695 entity
Predicate hasProcessionName P76122 FINISHED
Object Jinkōsai procession
The Jinkōsai procession is the grand, mikoshi-bearing parade at the heart of Tokyo’s Sannō Matsuri, in which portable shrines are carried through the city to bless and purify the surrounding areas.
 E1759245 NE FINISHED

How this triple was built (3 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: Jinkōsai procession | Statement: [Sannō Matsuri, hasProcessionName, Jinkōsai procession]
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: Jinkōsai procession
Triple: [Sannō Matsuri, hasProcessionName, Jinkōsai procession]
Generated description
The Jinkōsai procession is the grand, mikoshi-bearing parade at the heart of Tokyo’s Sannō Matsuri, in which portable shrines are carried through the city to bless and purify the surrounding areas.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasProcessionName
Context triple: [Sannō Matsuri, hasProcessionName, Jinkōsai procession]
  • A. returnProcessionName chosen
    Indicates that an entity provides or yields the name associated with a specific procession.
  • B. hasProcessionFrom
    Indicates that a procession, ceremony, or formal movement originates from or starts at a specified source location or entity.
  • C. hasProcessionDuring
    Indicates that a procession or ceremonial march takes place during a specified time period or event.
  • D. processionIncludes
    Indicates that a particular procession contains or involves a specified participant, element, or component as part of it.
  • E. mainProcessionDay
    Indicates the specific day on which the primary or central procession of an event or celebration takes place.
  • F. None of above.

Provenance (6 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_69eefad1fd5c8190a4a46ea6afe58bfa completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12539b6a3881909f8c4b10b4ac9cba completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a125433c0288190ab1e54c3d763468d completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1254fc697c8190baf4f8adefcea4d2 completed May 24, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
Created at: April 27, 2026, 9:35 a.m.