Triple

T14100413
Position Surface form Disambiguated ID Type / Status
Subject Chiayi Air Base E339363 entity
Predicate hasICAOcode P419 FINISHED
Object RCKU
RCKU is the ICAO airport code for Chiayi Air Base, a military airfield located in Chiayi, Taiwan.
 E1080133 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: RCKU | Statement: [Chiayi Air Base, hasICAOcode, RCKU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RCKU
Context triple: [Chiayi Air Base, hasICAOcode, RCKU]
  • A. RCK
    RCK is the standard abbreviation used for the Rockford Rivets baseball team.
  • B. RKC
    RKC is the commonly used abbreviation for the Revised Kyoto Convention, an international agreement that standardizes and simplifies customs procedures worldwide.
  • C. RCKH
    RCKH is the ICAO airport code for Kaohsiung International Airport, a major commercial airport serving Kaohsiung in southern Taiwan.
  • D. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • E. RKT
    RKT is the stock ticker symbol for Reckitt Benckiser, a multinational consumer goods company known for health, hygiene, and home products.
  • 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: RCKU
Triple: [Chiayi Air Base, hasICAOcode, RCKU]
Generated description
RCKU is the ICAO airport code for Chiayi Air Base, a military airfield located in Chiayi, Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RCKU
Target entity description: RCKU is the ICAO airport code for Chiayi Air Base, a military airfield located in Chiayi, Taiwan.
  • A. RCK
    RCK is the standard abbreviation used for the Rockford Rivets baseball team.
  • B. RKC
    RKC is the commonly used abbreviation for the Revised Kyoto Convention, an international agreement that standardizes and simplifies customs procedures worldwide.
  • C. RCKH
    RCKH is the ICAO airport code for Kaohsiung International Airport, a major commercial airport serving Kaohsiung in southern Taiwan.
  • D. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • E. RKT
    RKT is the stock ticker symbol for Reckitt Benckiser, a multinational consumer goods company known for health, hygiene, and home products.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd5533dc88190b0ca6c0d7d47d84e completed May 7, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fcd61f06e881909c3c42b83f858471 completed May 7, 2026, 6:12 p.m.
Created at: April 9, 2026, 10:22 p.m.