Triple

T5074678
Position Surface form Disambiguated ID Type / Status
Subject Tsuiki Air Base E114364 entity
Predicate ICAOcode P419 FINISHED
Object RJFR
RJFR is the ICAO airport code for Tsuiki Air Base, a Japan Air Self-Defense Force installation in Fukuoka Prefecture, Japan.
 E491685 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: RJFR | Statement: [Tsuiki Air Base, ICAOcode, RJFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RJFR
Context triple: [Tsuiki Air Base, ICAOcode, RJFR]
  • A. RJFF
    RJFF is the ICAO airport code for Fukuoka Airport, a major international and domestic aviation hub on Japan’s Kyushu island.
  • B. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • C. JFRC
    JFRC is the commonly used abbreviation for the John Felice Rome Center, Loyola University Chicago’s campus in Rome, Italy.
  • D. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • E. RJT
    RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
  • 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: RJFR
Triple: [Tsuiki Air Base, ICAOcode, RJFR]
Generated description
RJFR is the ICAO airport code for Tsuiki Air Base, a Japan Air Self-Defense Force installation in Fukuoka Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RJFR
Target entity description: RJFR is the ICAO airport code for Tsuiki Air Base, a Japan Air Self-Defense Force installation in Fukuoka Prefecture, Japan.
  • A. RJFF
    RJFF is the ICAO airport code for Fukuoka Airport, a major international and domestic aviation hub on Japan’s Kyushu island.
  • B. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • C. JFRC
    JFRC is the commonly used abbreviation for the John Felice Rome Center, Loyola University Chicago’s campus in Rome, Italy.
  • D. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • E. RJT
    RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d0be1c819081b26235fe602a30 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb11b3f3c819089f09178f17940c5 completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb1a445f48190b3318d816830e1a6 completed March 21, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69beb23f789c8190811ee9e43327196c completed March 21, 2026, 2:59 p.m.
Created at: March 20, 2026, 1:39 p.m.