Triple
T26120486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitano Tenmangu Shrine |
E658951
|
entity |
| Predicate | mainFestival |
P41325
|
FINISHED |
| Object |
Kitano Matsuri
Kitano Matsuri is the principal annual festival of Kyoto’s Kitano Tenmangu Shrine, featuring traditional Shinto rituals and lively processions honoring the deity of scholarship, Sugawara no Michizane.
|
E1711863
|
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: Kitano Matsuri | Statement: [Kitano Tenmangu Shrine, mainFestival, Kitano Matsuri]
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: Kitano Matsuri Triple: [Kitano Tenmangu Shrine, mainFestival, Kitano Matsuri]
Generated description
Kitano Matsuri is the principal annual festival of Kyoto’s Kitano Tenmangu Shrine, featuring traditional Shinto rituals and lively processions honoring the deity of scholarship, Sugawara no Michizane.
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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60acb357081909b4d9e869e4d2456 |
completed | May 2, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a112757c8048190afe8a27a42956a18 |
completed | May 23, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_6a114d41451c8190b885b39c66b01460 |
completed | May 23, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a114e49bc2081909689bf91d3d0eef1 |
completed | May 23, 2026, 6:50 a.m. |
Created at: April 26, 2026, 8:08 p.m.