Triple

T6211268
Position Surface form Disambiguated ID Type / Status
Subject Merced Regional Airport E138875 entity
Predicate ICAOcode P419 FINISHED
Object KMCE
KMCE is the ICAO airport code for Merced Regional Airport, a public airport serving Merced, California.
 E575612 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: KMCE | Statement: [Merced Regional Airport, ICAOcode, KMCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMCE
Context triple: [Merced Regional Airport, ICAOcode, KMCE]
  • A. KMKE
    KMKE is the ICAO airport code for Milwaukee Mitchell International Airport, a major commercial airport serving the Milwaukee, Wisconsin area.
  • B. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • C. KMCI
    KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
  • D. KM
    KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
  • E. KMCF
    KMCF is the ICAO airport code for the military airfield serving MacDill Air Force Base in Tampa, Florida.
  • 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: KMCE
Triple: [Merced Regional Airport, ICAOcode, KMCE]
Generated description
KMCE is the ICAO airport code for Merced Regional Airport, a public airport serving Merced, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMCE
Target entity description: KMCE is the ICAO airport code for Merced Regional Airport, a public airport serving Merced, California.
  • A. KMKE
    KMKE is the ICAO airport code for Milwaukee Mitchell International Airport, a major commercial airport serving the Milwaukee, Wisconsin area.
  • B. KMCO
    KMCO is the ICAO airport code for Orlando International Airport, a major commercial airport serving the Orlando, Florida metropolitan area.
  • C. KMCI
    KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
  • D. KM
    KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
  • E. KMCF
    KMCF is the ICAO airport code for the military airfield serving MacDill Air Force Base in Tampa, Florida.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628adccc8190b94f5c2c1d5d03f7 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f57821c8190bd7a5f6bf286ab09 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1bfe63d708190b734c064bdf0d735 completed March 23, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69c1c3f2b1388190bef6fe203f11fa3f completed March 23, 2026, 10:51 p.m.
Created at: March 22, 2026, 4:21 p.m.