Triple
T15347785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 44: Daihōji |
E366969
|
entity |
| Predicate | hasRomanizedName |
P2508
|
FINISHED |
| Object |
Daihōji
Daihōji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
|
E1392037
|
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: Daihōji | Statement: [Temple 44: Daihōji, hasRomanizedName, Daihōji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daihōji Context triple: [Temple 44: Daihōji, hasRomanizedName, Daihōji]
-
A.
Jōrakuji
Jōrakuji is a Buddhist temple in Japan best known as Temple 14 on the Shikoku Pilgrimage route.
-
B.
Ryōzenji
Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
-
C.
Kodai-ji
Kodai-ji is a historic Zen Buddhist temple in Kyoto renowned for its beautiful gardens, traditional architecture, and connections to the warlord Toyotomi Hideyoshi.
-
D.
Jisho-ji
Jisho-ji, better known as Ginkaku-ji or the Silver Pavilion, is a renowned Zen Buddhist temple in Kyoto celebrated for its elegant architecture and classical Japanese gardens.
-
E.
To-ji
To-ji is a historic Buddhist temple in Kyoto, Japan, famed for its five-story pagoda—the tallest wooden tower in the country—and its status as a UNESCO World Heritage Site.
- 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: Daihōji Triple: [Temple 44: Daihōji, hasRomanizedName, Daihōji]
Generated description
Daihōji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daihōji Target entity description: Daihōji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
-
A.
Jōrakuji
Jōrakuji is a Buddhist temple in Japan best known as Temple 14 on the Shikoku Pilgrimage route.
-
B.
Ryōzenji
Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
-
C.
Kodai-ji
Kodai-ji is a historic Zen Buddhist temple in Kyoto renowned for its beautiful gardens, traditional architecture, and connections to the warlord Toyotomi Hideyoshi.
-
D.
Jisho-ji
Jisho-ji, better known as Ginkaku-ji or the Silver Pavilion, is a renowned Zen Buddhist temple in Kyoto celebrated for its elegant architecture and classical Japanese gardens.
-
E.
To-ji
To-ji is a historic Buddhist temple in Kyoto, Japan, famed for its five-story pagoda—the tallest wooden tower in the country—and its status as a UNESCO World Heritage Site.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e1749bc8190a8b9cbcb27288a5b |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4d35f088190875264a509504dc7 |
completed | May 16, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_6a07b5fa3d348190b8c7adb42097b40a |
completed | May 16, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b6644d108190b21ac258ffcfba61 |
completed | May 16, 2026, 12:12 a.m. |
Created at: April 10, 2026, 3:17 a.m.