Triple
T16758407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dazaifu |
E407269
|
entity |
| Predicate | hasTemple |
P1191
|
FINISHED |
| Object |
Chikushi-ji
Chikushi-ji is a historic Buddhist temple in Dazaifu, Fukuoka Prefecture, Japan, known for its ancient origins and cultural significance in the region.
|
E1479492
|
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: Chikushi-ji | Statement: [Dazaifu, hasTemple, Chikushi-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chikushi-ji Context triple: [Dazaifu, hasTemple, Chikushi-ji]
-
A.
Daikō-ji
Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
-
B.
Chōjū-ji
Chōjū-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and tranquil natural setting.
-
C.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
D.
Kenchō-ji
Kenchō-ji is a historic Zen Buddhist temple in Kamakura, Japan, renowned as one of the oldest and most important Zen training monasteries in the country.
-
E.
Jōraku-ji
Jōraku-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and cultural significance.
- 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: Chikushi-ji Triple: [Dazaifu, hasTemple, Chikushi-ji]
Generated description
Chikushi-ji is a historic Buddhist temple in Dazaifu, Fukuoka Prefecture, Japan, known for its ancient origins and cultural significance in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chikushi-ji Target entity description: Chikushi-ji is a historic Buddhist temple in Dazaifu, Fukuoka Prefecture, Japan, known for its ancient origins and cultural significance in the region.
-
A.
Daikō-ji
Daikō-ji is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
-
B.
Chōjū-ji
Chōjū-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and tranquil natural setting.
-
C.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
D.
Kenchō-ji
Kenchō-ji is a historic Zen Buddhist temple in Kamakura, Japan, renowned as one of the oldest and most important Zen training monasteries in the country.
-
E.
Jōraku-ji
Jōraku-ji is a historic Buddhist temple in Kōka, Shiga Prefecture, known for its traditional architecture and cultural significance.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abea156c8190a5ee6d0028471810 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad4449b08190bbe537d050a7d923 |
completed | May 17, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_6a09add0b7948190a68b42b0fed110fd |
completed | May 17, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_6a09ae80cd648190a4f0bda8894fca2b |
completed | May 17, 2026, 12:03 p.m. |
Created at: April 10, 2026, 5:21 a.m.