Triple
T6810221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyeryongsan |
E156609
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Gyeryong city
Gyeryong city is a South Korean city in South Chungcheong Province known for its proximity to the sacred mountain Gyeryongsan and its role as a major military and administrative center.
|
E649118
|
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: Gyeryong city | Statement: [Gyeryongsan, near, Gyeryong city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyeryong city Context triple: [Gyeryongsan, near, Gyeryong city]
-
A.
Hanseong
Hanseong was the historical name for Seoul when it served as the capital of the Joseon Dynasty in Korea.
-
B.
Sangil
Sangil are an indigenous Moro ethnolinguistic group of the southern Philippines and nearby Indonesian islands, known for their seafaring traditions and Islamic faith.
-
C.
Jincheon
Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
-
D.
Chuncheon
Chuncheon is a city in northeastern South Korea known for its lakes, surrounding mountains, and status as the capital of Gangwon Province.
-
E.
Gimcheon
Gimcheon is a city in North Gyeongsang Province, South Korea, known as a regional transportation hub and administrative center.
- 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: Gyeryong city Triple: [Gyeryongsan, near, Gyeryong city]
Generated description
Gyeryong city is a South Korean city in South Chungcheong Province known for its proximity to the sacred mountain Gyeryongsan and its role as a major military and administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gyeryong city Target entity description: Gyeryong city is a South Korean city in South Chungcheong Province known for its proximity to the sacred mountain Gyeryongsan and its role as a major military and administrative center.
-
A.
Hanseong
Hanseong was the historical name for Seoul when it served as the capital of the Joseon Dynasty in Korea.
-
B.
Sangil
Sangil are an indigenous Moro ethnolinguistic group of the southern Philippines and nearby Indonesian islands, known for their seafaring traditions and Islamic faith.
-
C.
Jincheon
Jincheon is a county in North Chungcheong Province, South Korea, known for its agricultural production and growing role as a logistics and industrial hub.
-
D.
Chuncheon
Chuncheon is a city in northeastern South Korea known for its lakes, surrounding mountains, and status as the capital of Gangwon Province.
-
E.
Gimcheon
Gimcheon is a city in North Gyeongsang Province, South Korea, known as a regional transportation hub and administrative center.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30ded6481908fd64611607c610e |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf6c62948190a8e8f0d8f259ba42 |
completed | March 28, 2026, 11:45 a.m. |
| NEDg | Description generation | batch_69c7c0cb1bc0819096daae8ab2202f0b |
completed | March 28, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c1352f8881909c3a7d03a5f2a5b1 |
completed | March 28, 2026, 11:53 a.m. |
Created at: March 27, 2026, 2:16 p.m.