Triple

T4816224
Position Surface form Disambiguated ID Type / Status
Subject Hyakuri Air Base E107594 entity
Predicate ICAOcode P419 FINISHED
Object RJAH
RJAH is the ICAO airport code for Hyakuri Air Base, a Japanese military airfield in Ibaraki Prefecture.
 E472463 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: RJAH | Statement: [Hyakuri Air Base, ICAOcode, RJAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RJAH
Context triple: [Hyakuri Air Base, ICAOcode, RJAH]
  • A. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • B. RJA
    RJA is the ICAO airline designator used for Royal Jordanian, the flag carrier airline of Jordan.
  • C. JAH
    JAH is the stock ticker symbol for Jarden Corporation, a former U.S.-based consumer products company known for a wide range of household and outdoor brands.
  • D. RAJ
    RAJ is the IATA airport code for Rajkot Airport, which serves the city of Rajkot in the Indian state of Gujarat.
  • E. RAH
    RAH is the abbreviation for the Real Academia de la Historia, Spain’s national institution dedicated to the research, preservation, and promotion of the country’s historical heritage.
  • 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: RJAH
Triple: [Hyakuri Air Base, ICAOcode, RJAH]
Generated description
RJAH is the ICAO airport code for Hyakuri Air Base, a Japanese military airfield in Ibaraki Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RJAH
Target entity description: RJAH is the ICAO airport code for Hyakuri Air Base, a Japanese military airfield in Ibaraki Prefecture.
  • A. RJ
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • B. RJA
    RJA is the ICAO airline designator used for Royal Jordanian, the flag carrier airline of Jordan.
  • C. JAH
    JAH is the stock ticker symbol for Jarden Corporation, a former U.S.-based consumer products company known for a wide range of household and outdoor brands.
  • D. RAJ
    RAJ is the IATA airport code for Rajkot Airport, which serves the city of Rajkot in the Indian state of Gujarat.
  • E. RAH
    RAH is the abbreviation for the Real Academia de la Historia, Spain’s national institution dedicated to the research, preservation, and promotion of the country’s historical heritage.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c947b18819086c3af556bb7591c completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4db5652081909af5ef92df72c221 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e4d3d608190837c5808f2f17aa4 completed March 21, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69be4f107e7c8190aec4a7bcf0520ec9 completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:23 p.m.