Triple
T18339738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daigo-ji |
E439367
|
entity |
| Predicate | hasSubTemple |
P42500
|
FINISHED |
| Object |
Shimo-Daigo
Shimo-Daigo is a sub-temple within the historic Daigo-ji temple complex in Kyoto, Japan, known for its traditional Buddhist architecture and serene natural setting.
|
E1399160
|
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: Shimo-Daigo | Statement: [Daigo-ji, hasSubTemple, Shimo-Daigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shimo-Daigo Context triple: [Daigo-ji, hasSubTemple, Shimo-Daigo]
-
A.
Yamatokoriyama
Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
-
B.
Atago
Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
-
C.
Daisen
Daisen is a city in Japan known for its location in Akita Prefecture and its rich agricultural and cultural traditions.
-
D.
Takamagahara
Takamagahara is the heavenly realm in Shinto mythology, home of the kami and the divine seat of celestial authority.
-
E.
Heisei-Shinzan
Heisei-Shinzan is a lava dome that formed during the early 1990s eruptions of Mount Unzen in Japan, becoming one of the country's most notable recent volcanic features.
- 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: Shimo-Daigo Triple: [Daigo-ji, hasSubTemple, Shimo-Daigo]
Generated description
Shimo-Daigo is a sub-temple within the historic Daigo-ji temple complex in Kyoto, Japan, known for its traditional Buddhist architecture and serene natural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shimo-Daigo Target entity description: Shimo-Daigo is a sub-temple within the historic Daigo-ji temple complex in Kyoto, Japan, known for its traditional Buddhist architecture and serene natural setting.
-
A.
Yamatokoriyama
Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
-
B.
Atago
Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
-
C.
Daisen
Daisen is a city in Japan known for its location in Akita Prefecture and its rich agricultural and cultural traditions.
-
D.
Takamagahara
Takamagahara is the heavenly realm in Shinto mythology, home of the kami and the divine seat of celestial authority.
-
E.
Heisei-Shinzan
Heisei-Shinzan is a lava dome that formed during the early 1990s eruptions of Mount Unzen in Japan, becoming one of the country's most notable recent volcanic features.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed07db48190a15e957c96b1c5bf |
completed | April 19, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d41e00d88190a0cf2c1dd598f551 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d81e5bc881909b109afa7cf71384 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d91c50648190a2a9f13daad545fd |
completed | May 16, 2026, 2:40 a.m. |
Created at: April 10, 2026, 10:37 a.m.