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.