Triple

T9413058
Position Surface form Disambiguated ID Type / Status
Subject Gimpo E226749 entity
Predicate airportICAO P419 FINISHED
Object RKSS E467926 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: RKSS | Statement: [Gimpo, airportICAO, RKSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RKSS
Context triple: [Gimpo, airportICAO, RKSS]
  • A. RKSS chosen
    RKSS is the ICAO airport code for Gimpo International Airport, a major airport serving Seoul, South Korea.
  • B. RKP
    RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
  • C. RKKA
    RKKA is the Russian abbreviation for the Workers' and Peasants' Red Army, the Soviet Union's military force from the Russian Civil War through World War II.
  • D. SKS
    The SKS is a Soviet semi-automatic carbine designed in the mid-20th century that became widely used around the world for military service, hunting, and civilian shooting.
  • E. KRISS
    KRISS is South Korea's national metrology institute responsible for establishing and maintaining the country's measurement standards and supporting scientific and industrial precision.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5258f7e081908d48600409181fdb completed April 1, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b0f9648190894a4cd13d7e5fb5 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.