Triple
T16467082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dōryūji |
E399960
|
entity |
| Predicate | hasRomanizedName |
P2508
|
FINISHED |
| Object |
Dōryū-ji
Dōryū-ji is a Japanese Buddhist temple, likely associated with traditional regional religious practices and historical cultural heritage.
|
E1463046
|
NE FINISHED |
How this triple was built (4 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: Dōryū-ji | Statement: [Dōryūji, hasRomanizedName, Dōryū-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dōryū-ji Context triple: [Dōryūji, hasRomanizedName, Dōryū-ji]
-
A.
Jōraku-ji
Jōraku-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and cultural significance.
-
B.
Shōryū-ji
Shōryū-ji is a Buddhist temple in Japan, known as Temple 36 on the Shikoku Pilgrimage.
-
C.
Jōruri-ji
Jōruri-ji is a historic Buddhist temple in Kizugawa, Kyoto Prefecture, renowned for its Heian-period architecture and statues.
-
D.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
E.
Shidō-ji
Shidō-ji is a Buddhist temple in Kagawa Prefecture, Japan, known as Temple 86 on the Shikoku Pilgrimage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Dōryū-ji Triple: [Dōryūji, hasRomanizedName, Dōryū-ji]
Generated description
Dōryū-ji is a Japanese Buddhist temple, likely associated with traditional regional religious practices and historical cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dōryū-ji Target entity description: Dōryū-ji is a Japanese Buddhist temple, likely associated with traditional regional religious practices and historical cultural heritage.
-
A.
Jōraku-ji
Jōraku-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and cultural significance.
-
B.
Shōryū-ji
Shōryū-ji is a Buddhist temple in Japan, known as Temple 36 on the Shikoku Pilgrimage.
-
C.
Jōruri-ji
Jōruri-ji is a historic Buddhist temple in Kizugawa, Kyoto Prefecture, renowned for its Heian-period architecture and statues.
-
D.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
E.
Shidō-ji
Shidō-ji is a Buddhist temple in Kagawa Prefecture, Japan, known as Temple 86 on the Shikoku Pilgrimage.
- F. None of above. chosen
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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dcd707081908fb7ca91a8c09e0a |
completed | April 18, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0947285210819089446cb626a46d4e |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a0947c3422c8190adecb8a91e3ebe31 |
completed | May 17, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09489195b88190bdfb0c1b2d6d35e2 |
completed | May 17, 2026, 4:48 a.m. |
Created at: April 10, 2026, 5:11 a.m.