Triple

T6646664
Position Surface form Disambiguated ID Type / Status
Subject Incheon Free Economic Zone E150717 entity
Predicate abbreviation P43 FINISHED
Object IFEZ
IFEZ is a major South Korean free economic zone in Incheon designed to serve as a global business, logistics, and high-tech hub.
 E610536 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: IFEZ | Statement: [Incheon Free Economic Zone, abbreviation, IFEZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IFEZ
Context triple: [Incheon Free Economic Zone, abbreviation, IFEZ]
  • A. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • B. Zestaponi
    Zestaponi is an industrial town in western Georgia known historically for its manganese processing and role as a regional transport hub.
  • C. Tempozan
    Tempozan is a waterfront district in Osaka, Japan, known for its harbor attractions, shopping and entertainment complex, and proximity to the Osaka Aquarium Kaiyukan.
  • D. Mitino
    Mitino is a Moscow Metro station serving the Mitino District in the northwestern part of the city.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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: IFEZ
Triple: [Incheon Free Economic Zone, abbreviation, IFEZ]
Generated description
IFEZ is a major South Korean free economic zone in Incheon designed to serve as a global business, logistics, and high-tech hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IFEZ
Target entity description: IFEZ is a major South Korean free economic zone in Incheon designed to serve as a global business, logistics, and high-tech hub.
  • A. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • B. Zestaponi
    Zestaponi is an industrial town in western Georgia known historically for its manganese processing and role as a regional transport hub.
  • C. Tempozan
    Tempozan is a waterfront district in Osaka, Japan, known for its harbor attractions, shopping and entertainment complex, and proximity to the Osaka Aquarium Kaiyukan.
  • D. Mitino
    Mitino is a Moscow Metro station serving the Mitino District in the northwestern part of the city.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01cecc48190a6d2c26d8d5ab80c completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef48b488190ac08dc37d4a5d514 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f127d9188190849959aaae10f769 completed March 27, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69c6f5318764819092eca02a5f300e2a completed March 27, 2026, 9:22 p.m.
Created at: March 27, 2026, 2 p.m.