Triple

T19638102
Position Surface form Disambiguated ID Type / Status
Subject Mfuwe Airport E471455 entity
Predicate ICAO code P419 FINISHED
Object FLMF
FLMF is the ICAO airport code for Mfuwe Airport in Zambia, which serves as a key gateway to the South Luangwa National Park.
 E1387461 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: FLMF | Statement: [Mfuwe Airport, ICAO code, FLMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FLMF
Context triple: [Mfuwe Airport, ICAO code, FLMF]
  • A. LFML
    LFML is the ICAO airport code for Marseille Provence Airport, a major international airport serving the city of Marseille and the Provence region in southern France.
  • B. LFMN
    LFMN is the ICAO airport code for Nice Côte d’Azur Airport, a major international airport serving Nice and the French Riviera in southeastern France.
  • C. LFMK
    LFMK is the ICAO airport code for Carcassonne Airport in southern France, which serves the city of Carcassonne and the surrounding Occitanie region.
  • D. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • E. FMF
    FMF is a U.S. government program that provides grants and loans to help foreign countries purchase American defense equipment, services, and training.
  • 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: FLMF
Triple: [Mfuwe Airport, ICAO code, FLMF]
Generated description
FLMF is the ICAO airport code for Mfuwe Airport in Zambia, which serves as a key gateway to the South Luangwa National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FLMF
Target entity description: FLMF is the ICAO airport code for Mfuwe Airport in Zambia, which serves as a key gateway to the South Luangwa National Park.
  • A. LFML
    LFML is the ICAO airport code for Marseille Provence Airport, a major international airport serving the city of Marseille and the Provence region in southern France.
  • B. LFMN
    LFMN is the ICAO airport code for Nice Côte d’Azur Airport, a major international airport serving Nice and the French Riviera in southeastern France.
  • C. LFMK
    LFMK is the ICAO airport code for Carcassonne Airport in southern France, which serves the city of Carcassonne and the surrounding Occitanie region.
  • D. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • E. FMF
    FMF is a U.S. government program that provides grants and loans to help foreign countries purchase American defense equipment, services, and training.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64107f3fc8190ace6ae67287d280c completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ee4e2e08190a3f9faa22402817f completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077f74e4fc81909fd1c65af64ba68f completed May 15, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0780e305f08190805e21212dec0b39 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:44 p.m.