Triple

T255808
Position Surface form Disambiguated ID Type / Status
Subject San Diego International Airport E5434 entity
Predicate ICAOcode P419 FINISHED
Object KSAN
KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
 E32610 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: KSAN | Statement: [San Diego International Airport, ICAOcode, KSAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSAN
Context triple: [San Diego International Airport, ICAOcode, KSAN]
  • A. KSLC
    KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
  • B. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • C. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • D. Sakai
    Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
  • E. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • 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: KSAN
Triple: [San Diego International Airport, ICAOcode, KSAN]
Generated description
KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSAN
Target entity description: KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
  • A. KSLC
    KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
  • B. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • C. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • D. Sakai
    Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
  • E. Kantei
    Kantei is the official office and residence complex of Japan’s Prime Minister, serving as the central hub of the country’s executive government.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d5669008190978bbd7308be11f7 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3766038008190aa896920bbf9d713 completed Feb. 28, 2026, 11:12 p.m.
NEDg Description generation batch_69a376baec9c8190b2d0e3c198a4b106 completed Feb. 28, 2026, 11:14 p.m.
NED2 Entity disambiguation (via description) batch_69a3770a1c2c8190975320ede10717b2 completed Feb. 28, 2026, 11:15 p.m.
Created at: Feb. 28, 2026, 2:55 a.m.