Triple

T12078872
Position Surface form Disambiguated ID Type / Status
Subject McAllen International Airport E287625 entity
Predicate IATA code P2569 FINISHED
Object MFE
MFE is the three-letter IATA airport code for McAllen International Airport in McAllen, Texas.
 E963291 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: MFE | Statement: [McAllen International Airport, IATA code, MFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MFE
Context triple: [McAllen International Airport, IATA code, MFE]
  • A. FRM
    FRM is the National Rail station code for Fareham railway station in Hampshire, England.
  • B. Master of Financial Engineering
    The Master of Financial Engineering is a specialized graduate degree program that trains students to apply advanced quantitative, mathematical, and computational methods to finance and risk management.
  • C. CQF
    CQF is the IATA airport code for Calais–Dunkerque Airport in northern France.
  • D. CQF
    CQF (Cyclic Queuing and Forwarding) is a time-sensitive networking mechanism defined in IEEE 802.1Qch that provides deterministic, low-latency packet forwarding using cyclic transmission queues.
  • E. MEF
    MEF is Italy’s Ministry of Economy and Finance, the government department responsible for national economic policy, public finances, and the state budget.
  • 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: MFE
Triple: [McAllen International Airport, IATA code, MFE]
Generated description
MFE is the three-letter IATA airport code for McAllen International Airport in McAllen, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MFE
Target entity description: MFE is the three-letter IATA airport code for McAllen International Airport in McAllen, Texas.
  • A. FRM
    FRM is the National Rail station code for Fareham railway station in Hampshire, England.
  • B. Master of Financial Engineering
    The Master of Financial Engineering is a specialized graduate degree program that trains students to apply advanced quantitative, mathematical, and computational methods to finance and risk management.
  • C. CQF
    CQF is the IATA airport code for Calais–Dunkerque Airport in northern France.
  • D. CQF
    CQF (Cyclic Queuing and Forwarding) is a time-sensitive networking mechanism defined in IEEE 802.1Qch that provides deterministic, low-latency packet forwarding using cyclic transmission queues.
  • E. MEF
    MEF is Italy’s Ministry of Economy and Finance, the government department responsible for national economic policy, public finances, and the state budget.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045e81f88190be2b1aabd93f077c completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66301f081909697f9dd444a099e completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fde880f4819094b2170bf4e82138 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:48 p.m.