Triple

T7365830
Position Surface form Disambiguated ID Type / Status
Subject Kaohsiung International Airport E169866 entity
Predicate ICAOcode P419 FINISHED
Object RCKH
RCKH is the ICAO airport code for Kaohsiung International Airport, a major commercial airport serving Kaohsiung in southern Taiwan.
 E658142 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: RCKH | Statement: [Kaohsiung International Airport, ICAOcode, RCKH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RCKH
Context triple: [Kaohsiung International Airport, ICAOcode, RCKH]
  • A. RKC
    RKC is the commonly used abbreviation for the Revised Kyoto Convention, an international agreement that standardizes and simplifies customs procedures worldwide.
  • B. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • C. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • D. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • E. KKH
    KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
  • 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: RCKH
Triple: [Kaohsiung International Airport, ICAOcode, RCKH]
Generated description
RCKH is the ICAO airport code for Kaohsiung International Airport, a major commercial airport serving Kaohsiung in southern Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RCKH
Target entity description: RCKH is the ICAO airport code for Kaohsiung International Airport, a major commercial airport serving Kaohsiung in southern Taiwan.
  • A. RKC
    RKC is the commonly used abbreviation for the Revised Kyoto Convention, an international agreement that standardizes and simplifies customs procedures worldwide.
  • B. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • C. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • D. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • E. KKH
    KKH is the abbreviation for the Karakoram Highway, a major high-altitude road linking Pakistan and China through the Karakoram mountain range.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f163038481909dedbffb4ae7f860 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab9820c8190aa8b519a0852af6e completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbffbc7881909a5b4e877a735848 completed March 28, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb75c548190860e5488625f2f02 completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:06 p.m.