Triple

T23138727
Position Surface form Disambiguated ID Type / Status
Subject Seoul World Cup Park E577396 entity
Predicate locatedOnFormerSiteOf P4380 FINISHED
Object Nanjido landfill
Nanjido landfill was a former massive waste disposal site in Seoul that was later transformed into an ecological and recreational area.
E1574952 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: Nanjido landfill | Statement: [Seoul World Cup Park, locatedOnFormerSiteOf, Nanjido landfill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanjido landfill
Context triple: [Seoul World Cup Park, locatedOnFormerSiteOf, Nanjido landfill]
  • A. Maihama
    Maihama is a coastal district of Urayasu in Chiba Prefecture, Japan, best known as the location of the Tokyo Disney Resort.
  • B. Shiba-koen
    Shiba-koen is a central Tokyo district known for its large public park, historic temples, and close proximity to Tokyo Tower.
  • C. Inubōsaki
    Inubōsaki is a coastal cape in Chōshi, Chiba Prefecture, Japan, known for its scenic Pacific Ocean views and historic lighthouse.
  • D. Owase
    Owase is a coastal city in southern Mie Prefecture, Japan, known for its rugged ria coastline, abundant rainfall, and proximity to the Kumano Kodo pilgrimage routes.
  • E. Ogikubo
    Ogikubo is a residential and commercial district in western Tokyo known for its relaxed atmosphere, ramen shops, and role as a transport hub on the Chūō Line.
  • 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: Nanjido landfill
Triple: [Seoul World Cup Park, locatedOnFormerSiteOf, Nanjido landfill]
Generated description
Nanjido landfill was a former massive waste disposal site in Seoul that was later transformed into an ecological and recreational area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nanjido landfill
Target entity description: Nanjido landfill was a former massive waste disposal site in Seoul that was later transformed into an ecological and recreational area.
  • A. Maihama
    Maihama is a coastal district of Urayasu in Chiba Prefecture, Japan, best known as the location of the Tokyo Disney Resort.
  • B. Shiba-koen
    Shiba-koen is a central Tokyo district known for its large public park, historic temples, and close proximity to Tokyo Tower.
  • C. Inubōsaki
    Inubōsaki is a coastal cape in Chōshi, Chiba Prefecture, Japan, known for its scenic Pacific Ocean views and historic lighthouse.
  • D. Owase
    Owase is a coastal city in southern Mie Prefecture, Japan, known for its rugged ria coastline, abundant rainfall, and proximity to the Kumano Kodo pilgrimage routes.
  • E. Ogikubo
    Ogikubo is a residential and commercial district in western Tokyo known for its relaxed atmosphere, ramen shops, and role as a transport hub on the Chūō Line.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8e23988190814524f63a7efe36 completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308bbfb481909bb609337bc510e3 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c34d070ec81908d5f6b7583696c02 completed May 19, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_6a0c3551922481908520bf706ad8d7eb completed May 19, 2026, 10:02 a.m.
Created at: April 17, 2026, 4 p.m.