Triple

T15378463
Position Surface form Disambiguated ID Type / Status
Subject La Paz International Airport E367734 entity
Predicate ICAOcode P419 FINISHED
Object MMLP
MMLP is the ICAO airport code for Manuel Márquez de León International Airport serving La Paz, Baja California Sur, Mexico.
 E1152785 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: MMLP | Statement: [La Paz International Airport, ICAOcode, MMLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MMLP
Context triple: [La Paz International Airport, ICAOcode, MMLP]
  • A. /mlp/
    /mlp/ is 4chan’s board dedicated to discussion, content, and fandom surrounding the animated series "My Little Pony."
  • B. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • C. MMML
    MMML is the ICAO airport code for Mexicali International Airport in Mexicali, Baja California, Mexico.
  • D. ML-1
    ML-1 is Pakistan Railways’ primary north–south main line, connecting major cities and serving as the backbone of the country’s rail transport system.
  • E. MLU
    MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
  • 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: MMLP
Triple: [La Paz International Airport, ICAOcode, MMLP]
Generated description
MMLP is the ICAO airport code for Manuel Márquez de León International Airport serving La Paz, Baja California Sur, Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MMLP
Target entity description: MMLP is the ICAO airport code for Manuel Márquez de León International Airport serving La Paz, Baja California Sur, Mexico.
  • A. /mlp/
    /mlp/ is 4chan’s board dedicated to discussion, content, and fandom surrounding the animated series "My Little Pony."
  • B. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • C. MMML
    MMML is the ICAO airport code for Mexicali International Airport in Mexicali, Baja California, Mexico.
  • D. ML-1
    ML-1 is Pakistan Railways’ primary north–south main line, connecting major cities and serving as the backbone of the country’s rail transport system.
  • E. MLU
    MLU is the IATA airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b56dd1c81909a3933330e85fe0e completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0c1fd2dc8190934b21837f0d8689 completed May 9, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c81636c81909536e69b48c5c400 completed May 9, 2026, 10:29 a.m.
Created at: April 10, 2026, 3:19 a.m.