Triple

T1086568
Position Surface form Disambiguated ID Type / Status
Subject HAV E24064 entity
Predicate icaoCode P419 FINISHED
Object MUHA
MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
E125038 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: MUHA | Statement: [HAV, icaoCode, MUHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MUHA
Context triple: [HAV, icaoCode, MUHA]
  • A. Muh-he-con-neok
    Muh-he-con-neok is an alternative historical name for the Mahican, a Native American people originally from the Hudson River Valley region.
  • B. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • C. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • D. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • E. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • 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: MUHA
Triple: [HAV, icaoCode, MUHA]
Generated description
MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MUHA
Target entity description: MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • A. Muh-he-con-neok
    Muh-he-con-neok is an alternative historical name for the Mahican, a Native American people originally from the Hudson River Valley region.
  • B. Munnik
    Munnik is a given name associated with J. B. M. Hertzog, a prominent early 20th-century South African prime minister and political leader.
  • C. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • D. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • E. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bb74b0908190be51a7141e661d3e completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42b1de9c8190ba5a4a0283034367 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac43a06d3c819087cc9b92012bb979 completed March 7, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ac4779f86c819096d639a9a5df61a6 completed March 7, 2026, 3:42 p.m.
Created at: March 1, 2026, 7:42 p.m.