Triple
T2655710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiyomizu-dera |
E54604
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Enchin
Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
|
E291080
|
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: Enchin | Statement: [Kiyomizu-dera, founder, Enchin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enchin Context triple: [Kiyomizu-dera, founder, Enchin]
-
A.
Nantan
Nantan is a city in central Kyoto Prefecture, Japan, known for its rural landscapes, forests, and traditional cultural sites.
-
B.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
C.
Asokoro
Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
-
D.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
E.
Shumshu
Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
- 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: Enchin Triple: [Kiyomizu-dera, founder, Enchin]
Generated description
Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enchin Target entity description: Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
-
A.
Nantan
Nantan is a city in central Kyoto Prefecture, Japan, known for its rural landscapes, forests, and traditional cultural sites.
-
B.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
C.
Asokoro
Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
-
D.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
E.
Shumshu
Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd933ec008190aef1442460c4cfbc |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf4d70388190b6f0e683c77bc262 |
completed | March 10, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69afafddb2a081909b891eed7ba5411d |
completed | March 10, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb10304488190a1129efae36b3c4e |
completed | March 10, 2026, 5:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.