Triple

T14126144
Position Surface form Disambiguated ID Type / Status
Subject El Lencero Airport E340038 entity
Predicate ICAO code P419 FINISHED
Object MMJA
MMJA is the ICAO airport code assigned to El Lencero Airport in Mexico.
E1081317 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: MMJA | Statement: [El Lencero Airport, ICAO code, MMJA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MMJA
Context triple: [El Lencero Airport, ICAO code, MMJA]
  • A. MMTJ
    MMTJ is the ICAO airport code for Tijuana International Airport, a major commercial airport serving Tijuana in Baja California, Mexico.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. JMB
    JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
  • D. MJI
    MJI is the IATA airport code for Mitiga International Airport, a major airport serving Tripoli, Libya.
  • E. BBMA
    BBMA is the commonly used abbreviation for the Billboard Music Awards, an annual ceremony honoring achievements in the music industry based on Billboard chart performance.
  • 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: MMJA
Triple: [El Lencero Airport, ICAO code, MMJA]
Generated description
MMJA is the ICAO airport code assigned to El Lencero Airport in Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MMJA
Target entity description: MMJA is the ICAO airport code assigned to El Lencero Airport in Mexico.
  • A. MMTJ
    MMTJ is the ICAO airport code for Tijuana International Airport, a major commercial airport serving Tijuana in Baja California, Mexico.
  • B. MM
    MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • C. JMB
    JMB is the frequent-flyer mileage program of Japan Airlines, allowing members to earn and redeem miles for flights and related travel services.
  • D. MJI
    MJI is the IATA airport code for Mitiga International Airport, a major airport serving Tripoli, Libya.
  • E. BBMA
    BBMA is the commonly used abbreviation for the Billboard Music Awards, an annual ceremony honoring achievements in the music industry based on Billboard chart performance.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6096976481909dc79066c5165a50 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce094bf3081909f7c0097dcb63398 completed May 7, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69fce14ff8e48190b3b663d130d18418 completed May 7, 2026, 7 p.m.
Created at: April 9, 2026, 10:22 p.m.