Triple

T4447289
Position Surface form Disambiguated ID Type / Status
Subject Misrata International Airport E96320 entity
Predicate hasIATAcode P2569 FINISHED
Object MRA
MRA is the IATA airport code for Misrata International Airport, a commercial airport serving the city of Misrata in Libya.
 E440978 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: MRA | Statement: [Misrata International Airport, hasIATAcode, MRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MRA
Context triple: [Misrata International Airport, hasIATAcode, MRA]
  • A. MRIA
    MRIA is the post-nominal title indicating membership of the Royal Irish Academy, an all-Ireland body of distinguished scholars and scientists.
  • B. MRI
    MRI (Matz's Ruby Interpreter) is the standard reference implementation of the Ruby programming language, written in C and known for prioritizing simplicity and developer happiness.
  • C. MRAF
    MRAF is the highest rank in the Royal Air Force, equivalent to a five-star air officer and typically held only in wartime or as an honorary appointment.
  • D. MRU
    MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
  • E. MRU
    MRU is the abbreviation for the Mano River Union, a regional organization that promotes economic cooperation and integration among West African countries along the Mano River.
  • 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: MRA
Triple: [Misrata International Airport, hasIATAcode, MRA]
Generated description
MRA is the IATA airport code for Misrata International Airport, a commercial airport serving the city of Misrata in Libya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MRA
Target entity description: MRA is the IATA airport code for Misrata International Airport, a commercial airport serving the city of Misrata in Libya.
  • A. MRIA
    MRIA is the post-nominal title indicating membership of the Royal Irish Academy, an all-Ireland body of distinguished scholars and scientists.
  • B. MRI
    MRI (Matz's Ruby Interpreter) is the standard reference implementation of the Ruby programming language, written in C and known for prioritizing simplicity and developer happiness.
  • C. MRAF
    MRAF is the highest rank in the Royal Air Force, equivalent to a five-star air officer and typically held only in wartime or as an honorary appointment.
  • D. MRU
    MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
  • E. MRU
    MRU is the abbreviation for the Mano River Union, a regional organization that promotes economic cooperation and integration among West African countries along the Mano River.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b617c13d4481909d22d201ce405d3a completed March 15, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b6187687f8819084e2d611e9e31f79 completed March 15, 2026, 2:24 a.m.
Created at: March 12, 2026, 11:32 p.m.