Triple
T38319950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ishidori Matsuri |
E1036634
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object |
石取祭
石取祭は、三重県桑名市で毎年開催される、山車を曳きながら太鼓や鉦を激しく打ち鳴らす日本有数の勇壮な夏祭りです。
|
E2264130
|
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: 石取祭 | Statement: [Ishidori Matsuri, hasLocalName, 石取祭]
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: 石取祭 Triple: [Ishidori Matsuri, hasLocalName, 石取祭]
Generated description
石取祭は、三重県桑名市で毎年開催される、山車を曳きながら太鼓や鉦を激しく打ち鳴らす日本有数の勇壮な夏祭りです。
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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc68722e481909809abb7fcf64b50 |
completed | May 7, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a419e1943788190bfd2d5239ffced71 |
completed | June 28, 2026, 10:20 p.m. |
| NEDg | Description generation | batch_6a419f990ca4819085f4c8205bccfb52 |
completed | June 28, 2026, 10:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41a019fd788190807bb83a268fd942 |
completed | June 28, 2026, 10:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.