Triple
T7629580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jogye Order of Korean Buddhism |
E172725
|
entity |
| Predicate | mainTemple |
P8490
|
FINISHED |
| Object |
Haeinsa
Haeinsa is a renowned Korean Buddhist temple best known for housing the Tripitaka Koreana, the most complete extant collection of Buddhist scriptures carved onto wooden printing blocks.
|
E678751
|
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: Haeinsa | Statement: [Jogye Order of Korean Buddhism, mainTemple, Haeinsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haeinsa Context triple: [Jogye Order of Korean Buddhism, mainTemple, Haeinsa]
-
A.
Osancheon
Osancheon is a river in Osan, South Korea, that flows through the city and serves as a local natural and recreational landmark.
-
B.
Hoan-ya
Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
-
C.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
D.
Kyojin
Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
-
E.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
- 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: Haeinsa Triple: [Jogye Order of Korean Buddhism, mainTemple, Haeinsa]
Generated description
Haeinsa is a renowned Korean Buddhist temple best known for housing the Tripitaka Koreana, the most complete extant collection of Buddhist scriptures carved onto wooden printing blocks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haeinsa Target entity description: Haeinsa is a renowned Korean Buddhist temple best known for housing the Tripitaka Koreana, the most complete extant collection of Buddhist scriptures carved onto wooden printing blocks.
-
A.
Osancheon
Osancheon is a river in Osan, South Korea, that flows through the city and serves as a local natural and recreational landmark.
-
B.
Hoan-ya
Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
-
C.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
D.
Kyojin
Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
-
E.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa84adb08190885138fc9b908ebf |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870af222481909e341eebb78664d6 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c8723391f48190b60ba8952c9ccca7 |
completed | March 29, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c87401aaa48190b3e44298fcd3f37f |
completed | March 29, 2026, 12:36 a.m. |
Created at: March 27, 2026, 3:56 p.m.