Triple
T37913645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 曹洞宗 |
E945751
|
entity |
| Predicate | 日本での主要寺院 |
P21132
|
FINISHED |
| Object |
永平寺
永平寺は、道元禅師によって開かれた福井県にある日本曹洞宗の大本山で、厳格な禅修行の道場として知られる寺院である。
|
E2248180
|
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: 永平寺 | Statement: [曹洞宗, 日本での主要寺院, 永平寺]
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: 永平寺 Triple: [曹洞宗, 日本での主要寺院, 永平寺]
Generated description
永平寺は、道元禅師によって開かれた福井県にある日本曹洞宗の大本山で、厳格な禅修行の道場として知られる寺院である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 日本での主要寺院 Context triple: [曹洞宗, 日本での主要寺院, 永平寺]
-
A.
otherMajorZenSchoolInJapan
Indicates that one Zen school in Japan is an alternative major Zen tradition relative to another.
-
B.
countryShrineOf
Indicates that a country is the location or host nation of a particular shrine.
-
C.
religiousAffiliationOfMainShrine
Indicates the religion or faith tradition with which the main shrine is affiliated.
-
D.
majorTempleLocation
chosen
Indicates that a major temple associated with an entity is located at a specified place.
-
E.
hasMajorShrine
Indicates that one entity serves as a principal or primary shrine dedicated to another entity.
- 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a410cce86408190b123c1ae00a389ca |
completed | June 28, 2026, noon |
| NEDg | Description generation | batch_6a410d8565e881908a8cd7eed4428c3f |
completed | June 28, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a410e09a0d48190aae6deab051064a3 |
completed | June 28, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.