Triple
T13217714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 연제구 |
E314662
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object |
연산교차로
연산교차로는 부산광역시 연제구의 주요 도로들이 만나는 대표적인 교통 요충지이자 상업 중심지이다.
|
E1028385
|
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: 연산교차로 | Statement: [연제구, hasNotablePlace, 연산교차로]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 연산교차로 Context triple: [연제구, hasNotablePlace, 연산교차로]
-
A.
Hyakumanben intersection
Hyakumanben intersection is a well-known crossroads in Kyoto, Japan, serving as a major transit and meeting point near Kyoto University and several surrounding neighborhoods.
-
B.
Hamamatsu Interchange
Hamamatsu Interchange is a key highway junction in Hamamatsu, Shizuoka Prefecture, Japan, connecting regional road networks to the Tōmei Expressway.
-
C.
Cong Ly intersection
Cong Ly intersection is a notable road junction in Ho Chi Minh City’s central District 3, serving as a busy traffic and transit hub.
-
D.
Ōiso Interchange
Ōiso Interchange is a highway junction in Ōiso, Kanagawa Prefecture, Japan, connecting local roads with the regional expressway network.
-
E.
Tilikum Crossing
Tilikum Crossing is a cable-stayed bridge in Portland, Oregon, designed to carry light rail, buses, streetcars, cyclists, and pedestrians while prohibiting private car traffic.
- 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: 연산교차로 Triple: [연제구, hasNotablePlace, 연산교차로]
Generated description
연산교차로는 부산광역시 연제구의 주요 도로들이 만나는 대표적인 교통 요충지이자 상업 중심지이다.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 연산교차로 Target entity description: 연산교차로는 부산광역시 연제구의 주요 도로들이 만나는 대표적인 교통 요충지이자 상업 중심지이다.
-
A.
Hyakumanben intersection
Hyakumanben intersection is a well-known crossroads in Kyoto, Japan, serving as a major transit and meeting point near Kyoto University and several surrounding neighborhoods.
-
B.
Hamamatsu Interchange
Hamamatsu Interchange is a key highway junction in Hamamatsu, Shizuoka Prefecture, Japan, connecting regional road networks to the Tōmei Expressway.
-
C.
Cong Ly intersection
Cong Ly intersection is a notable road junction in Ho Chi Minh City’s central District 3, serving as a busy traffic and transit hub.
-
D.
Ōiso Interchange
Ōiso Interchange is a highway junction in Ōiso, Kanagawa Prefecture, Japan, connecting local roads with the regional expressway network.
-
E.
Tilikum Crossing
Tilikum Crossing is a cable-stayed bridge in Portland, Oregon, designed to carry light rail, buses, streetcars, cyclists, and pedestrians while prohibiting private car traffic.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7036009808190aea595cd542e0cf1 |
completed | May 3, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7040e32a4819083a9f4efe96fd9ca |
completed | May 3, 2026, 8:15 a.m. |
Created at: April 9, 2026, 9:18 p.m.