Triple

T8604641
Position Surface form Disambiguated ID Type / Status
Subject Ali Al Salem Air Base E203766 entity
Predicate ICAOcode P419 FINISHED
Object OKAS
OKAS is the ICAO airport code assigned to Ali Al Salem Air Base, a key military airfield in Kuwait.
E744974 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: OKAS | Statement: [Ali Al Salem Air Base, ICAOcode, OKAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OKAS
Context triple: [Ali Al Salem Air Base, ICAOcode, OKAS]
  • A. OKA
    OKA is the IATA airport code for Naha Airport, the main air gateway to Okinawa, Japan.
  • B. OKO
    OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
  • C. OKS
    OKS is the abbreviation commonly used for the National Olympic Committee of Serbia, the body responsible for organizing the country’s participation in the Olympic Games.
  • D. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • E. OKM
    OKM was the abbreviation for the Oberkommando der Marine, the supreme command authority of Nazi Germany’s Kriegsmarine (navy) during World War II.
  • 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: OKAS
Triple: [Ali Al Salem Air Base, ICAOcode, OKAS]
Generated description
OKAS is the ICAO airport code assigned to Ali Al Salem Air Base, a key military airfield in Kuwait.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OKAS
Target entity description: OKAS is the ICAO airport code assigned to Ali Al Salem Air Base, a key military airfield in Kuwait.
  • A. OKA
    OKA is the IATA airport code for Naha Airport, the main air gateway to Okinawa, Japan.
  • B. OKO
    OKO is the IATA airport code for Yokota Air Base, a United States Air Force installation in western Tokyo, Japan.
  • C. OKS
    OKS is the abbreviation commonly used for the National Olympic Committee of Serbia, the body responsible for organizing the country’s participation in the Olympic Games.
  • D. Okak
    Okak is a dialectal variety of the Fang language spoken by Fang communities in Central Africa.
  • E. OKM
    OKM was the abbreviation for the Oberkommando der Marine, the supreme command authority of Nazi Germany’s Kriegsmarine (navy) during World War II.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46dd8ff8819081ef269192047488 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f8dfa4819080c8ed475a84be41 completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69cea9d0dad0819095134f6f8cafb4c0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa7025388190a3f17aca46d4858e completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:24 p.m.