Triple
T8363569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilgwang Beach |
E197066
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Ilgwang town
Ilgwang town is a coastal settlement in South Korea known for its proximity to the scenic Ilgwang Beach and its relaxed seaside atmosphere.
|
E617198
|
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: Ilgwang town | Statement: [Ilgwang Beach, near, Ilgwang town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilgwang town Context triple: [Ilgwang Beach, near, Ilgwang town]
-
A.
Seorae Village
Seorae Village is a neighborhood in Seoul known for its large French expatriate community, French-style cafes and bakeries, and a distinct European atmosphere.
-
B.
Ungchon-myeon
Ungchon-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
-
C.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
D.
Gucun Town
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
-
E.
Gamgok-myeon
Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
- 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: Ilgwang town Triple: [Ilgwang Beach, near, Ilgwang town]
Generated description
Ilgwang town is a coastal settlement in South Korea known for its proximity to the scenic Ilgwang Beach and its relaxed seaside atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilgwang town Target entity description: Ilgwang town is a coastal settlement in South Korea known for its proximity to the scenic Ilgwang Beach and its relaxed seaside atmosphere.
-
A.
Seorae Village
Seorae Village is a neighborhood in Seoul known for its large French expatriate community, French-style cafes and bakeries, and a distinct European atmosphere.
-
B.
Ungchon-myeon
chosen
Ungchon-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
-
C.
Geumwang-eup
Geumwang-eup is a town-level administrative division in Eumseong County, located in North Chungcheong Province, South Korea.
-
D.
Gucun Town
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
-
E.
Gamgok-myeon
Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
- F. None of above.
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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc78497cc8190a88bb5934f31e1f7 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc88456c8190ba8613b4cbf40fbb |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd75714881908f0b069a94ee334f |
completed | April 2, 2026, 1:59 a.m. |
Created at: March 30, 2026, 6 p.m.