Triple
T4878145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itaewon |
E109253
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Namsan
Namsan is a prominent central mountain in Seoul, South Korea, known for its panoramic city views and the iconic N Seoul Tower.
|
E477792
|
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: Namsan | Statement: [Itaewon, near, Namsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namsan Context triple: [Itaewon, near, Namsan]
-
A.
Geumjeongsan
Geumjeongsan is a prominent mountain in Busan, South Korea, known for its scenic hiking trails, historic fortress walls, and cultural sites.
-
B.
Gyeryongsan
Gyeryongsan is a prominent mountain in central South Korea known for its scenic national park, rich biodiversity, and cultural sites including historic Buddhist temples.
-
C.
Hwangnyeongsan Mountain
Hwangnyeongsan Mountain is a prominent peak in Busan, South Korea, known for its panoramic city and coastal views, especially popular at night.
-
D.
Kumgangsan
Kumgangsan, also known as Mount Kumgang or the Diamond Mountain, is a famed scenic mountain in southeastern North Korea renowned for its dramatic granite peaks, clear streams, and cultural significance in Korean art and history.
-
E.
Hwaseong
Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
- 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: Namsan Triple: [Itaewon, near, Namsan]
Generated description
Namsan is a prominent central mountain in Seoul, South Korea, known for its panoramic city views and the iconic N Seoul Tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namsan Target entity description: Namsan is a prominent central mountain in Seoul, South Korea, known for its panoramic city views and the iconic N Seoul Tower.
-
A.
Geumjeongsan
Geumjeongsan is a prominent mountain in Busan, South Korea, known for its scenic hiking trails, historic fortress walls, and cultural sites.
-
B.
Gyeryongsan
Gyeryongsan is a prominent mountain in central South Korea known for its scenic national park, rich biodiversity, and cultural sites including historic Buddhist temples.
-
C.
Hwangnyeongsan Mountain
Hwangnyeongsan Mountain is a prominent peak in Busan, South Korea, known for its panoramic city and coastal views, especially popular at night.
-
D.
Kumgangsan
Kumgangsan, also known as Mount Kumgang or the Diamond Mountain, is a famed scenic mountain in southeastern North Korea renowned for its dramatic granite peaks, clear streams, and cultural significance in Korean art and history.
-
E.
Hwaseong
Hwaseong is a city in Gyeonggi Province, South Korea, known for its rapid industrial growth and proximity to major urban centers like Suwon and Seoul.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dbd69d48190a8397d67af8f5fc8 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fb8e8f081908cee75f80494dd7d |
completed | March 21, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_69be702fe55481908224972344213a56 |
completed | March 21, 2026, 10:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7097c2a0819082229acd3d6f99ca |
completed | March 21, 2026, 10:19 a.m. |
Created at: March 20, 2026, 1:27 p.m.