Triple
T23475242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rungra Island |
E570244
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
룡라도
룡라도는 북한 평양 대동강에 위치한 섬으로, 대형 유원지와 경기장 등이 들어선 대표적인 휴식·문화 공간이다.
|
E1588350
|
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: 룡라도 | Statement: [Rungra Island, hasNameInLanguage, 룡라도]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 룡라도 Context triple: [Rungra Island, hasNameInLanguage, 룡라도]
-
A.
Rooster Dragon Mountain
Rooster Dragon Mountain is the literal English meaning of the Korean mountain name "Gyeryongsan," reflecting its distinctive, myth-inspired shape.
-
B.
Laoang
Laoang is a coastal municipality in the province of Northern Samar in the Philippines, known for its island landscapes and fishing communities.
-
C.
Yulgok-ro
Yulgok-ro is a major thoroughfare in central Seoul, South Korea, known for running through historic districts and connecting key cultural and administrative areas of the city.
-
D.
Hanlong
Hanlong is a given name, likely of Chinese origin, used as a personal first name.
-
E.
Nowgong
Nowgong is a historic town in the Indian state of Madhya Pradesh that served as an important administrative center during the British colonial period.
- 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: 룡라도 Triple: [Rungra Island, hasNameInLanguage, 룡라도]
Generated description
룡라도는 북한 평양 대동강에 위치한 섬으로, 대형 유원지와 경기장 등이 들어선 대표적인 휴식·문화 공간이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 룡라도 Target entity description: 룡라도는 북한 평양 대동강에 위치한 섬으로, 대형 유원지와 경기장 등이 들어선 대표적인 휴식·문화 공간이다.
-
A.
Rooster Dragon Mountain
Rooster Dragon Mountain is the literal English meaning of the Korean mountain name "Gyeryongsan," reflecting its distinctive, myth-inspired shape.
-
B.
Laoang
Laoang is a coastal municipality in the province of Northern Samar in the Philippines, known for its island landscapes and fishing communities.
-
C.
Yulgok-ro
Yulgok-ro is a major thoroughfare in central Seoul, South Korea, known for running through historic districts and connecting key cultural and administrative areas of the city.
-
D.
Hanlong
Hanlong is a given name, likely of Chinese origin, used as a personal first name.
-
E.
Nowgong
Nowgong is a historic town in the Indian state of Madhya Pradesh that served as an important administrative center during the British colonial period.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a704e2a48190acb55f77a2124412 |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c82622f08819087b983bfd69efe5d |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6f06a348190bfdba0452077f45b |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7c5176c81908221307bb50ff4ed |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 17, 2026, 6 p.m.