Triple

T2013678
Position Surface form Disambiguated ID Type / Status
Subject Gyeonggi Province E43744 entity
Predicate hasCity P316 FINISHED
Object Pocheon
Pocheon is a city in northeastern South Korea known for its natural scenery, including mountains, lakes, and recreational forests, within Gyeonggi Province.
 E434726 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: Pocheon | Statement: [Gyeonggi Province, hasCity, Pocheon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pocheon
Context triple: [Gyeonggi Province, hasCity, Pocheon]
  • A. Gwangmyeong
    Gwangmyeong is a city in South Korea known for its proximity to Seoul and attractions like the Gwangmyeong Cave, a former mine turned cultural and tourism complex.
  • B. Icheon
    Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
  • C. Namyangju
    Namyangju is a city in South Korea known for its scenic natural landscapes, historical sites, and role as a suburban area within the Seoul metropolitan region.
  • D. Gunpo
    Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
  • E. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • 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: Pocheon
Triple: [Gyeonggi Province, hasCity, Pocheon]
Generated description
Pocheon is a city in northeastern South Korea known for its natural scenery, including mountains, lakes, and recreational forests, within Gyeonggi Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pocheon
Target entity description: Pocheon is a city in northeastern South Korea known for its natural scenery, including mountains, lakes, and recreational forests, within Gyeonggi Province.
  • A. Gwangmyeong
    Gwangmyeong is a city in South Korea known for its proximity to Seoul and attractions like the Gwangmyeong Cave, a former mine turned cultural and tourism complex.
  • B. Icheon
    Icheon is a South Korean city renowned for its traditional ceramics and hot spring resorts.
  • C. Namyangju
    Namyangju is a city in South Korea known for its scenic natural landscapes, historical sites, and role as a suburban area within the Seoul metropolitan region.
  • D. Gunpo
    Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
  • E. Gapcheon
    Gapcheon is a major river flowing through the city of Daejeon in South Korea, serving as a central natural and recreational landmark.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b42d508190bf2b63132bb2ad77 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4aa62888190a5ef7a617b5ace8d completed March 14, 2026, 10:43 p.m.
NEDg Description generation batch_69b5e55785bc8190917ff2cd36ea08a9 completed March 14, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69b5e5d8574c81909da3a91d9f927879 completed March 14, 2026, 10:48 p.m.
Created at: March 4, 2026, 7:37 p.m.