Triple

T8530780
Position Surface form Disambiguated ID Type / Status
Subject Gadeokdo Island E201940 entity
Predicate hasPlannedProject P14971 FINISHED
Object Gadeokdo New Airport E707952 NE FINISHED

How this triple was built (2 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: Gadeokdo New Airport | Statement: [Gadeokdo Island, hasPlannedProject, Gadeokdo New Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gadeokdo New Airport
Context triple: [Gadeokdo Island, hasPlannedProject, Gadeokdo New Airport]
  • A. Gadeokdo New Airport chosen
    Gadeokdo New Airport is a planned major international airport project in South Korea intended to serve as a new aviation hub for the Busan region and southeastern Korea.
  • B. Neryungri Airport
    Neryungri Airport is a regional airport in the Sakha Republic of Russia that serves the town of Neryungri and its surrounding area.
  • C. Gimhae International Airport
    Gimhae International Airport is the main international airport serving the Busan metropolitan area in South Korea.
  • D. Gwangju Airport
    Gwangju Airport is a regional airport in Gwangju, South Korea, serving domestic flights and limited military operations.
  • E. Sacheon Airport
    Sacheon Airport is a regional airport in South Korea serving the city of Jinju and the surrounding Gyeongsangnam-do area with domestic flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67546248190b359c845c0161ad3 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d68d14c81908bde8ca0113f9503 completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.