Triple

T12078874
Position Surface form Disambiguated ID Type / Status
Subject McAllen International Airport E287625 entity
Predicate FAA LID P420 FINISHED
Object MFE E963291 NE FINISHED

How this triple was built (2 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, FAA LID, MFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MFE
Context triple: [McAllen International Airport, FAA LID, MFE]
  • A. MFE chosen
    MFE is the three-letter IATA airport code for McAllen International Airport in McAllen, Texas.
  • B. FRM
    FRM is the National Rail station code for Fareham railway station in Hampshire, England.
  • C. 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.
  • D. CQF
    CQF is the IATA airport code for Calais–Dunkerque Airport in northern France.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69f60a6b2d788190975275d713c26a4e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.