Triple

T13147217
Position Surface form Disambiguated ID Type / Status
Subject Leknes Airport E312370 entity
Predicate ICAOcode P419 FINISHED
Object ENLK
ENLK is the ICAO airport code for Leknes Airport, a regional airport serving the town of Leknes in Norway’s Lofoten archipelago.
 E1024616 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: ENLK | Statement: [Leknes Airport, ICAOcode, ENLK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENLK
Context triple: [Leknes Airport, ICAOcode, ENLK]
  • A. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • B. EKL
    EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
  • C. EKL
    EKL is the abbreviation for the Estonian Defence League, a voluntary national defence organization supporting Estonia’s military and civil security.
  • D. NLK
    NLK is the National Library of Korea, the country’s central repository for published materials and a key institution for preserving and providing access to Korea’s documentary heritage.
  • E. VNLK
    VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
  • 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: ENLK
Triple: [Leknes Airport, ICAOcode, ENLK]
Generated description
ENLK is the ICAO airport code for Leknes Airport, a regional airport serving the town of Leknes in Norway’s Lofoten archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENLK
Target entity description: ENLK is the ICAO airport code for Leknes Airport, a regional airport serving the town of Leknes in Norway’s Lofoten archipelago.
  • A. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • B. EKL
    EKL is the abbreviation for the Estonian Defence League, a voluntary national defence organization supporting Estonia’s military and civil security.
  • C. EKL
    EKL is the National Rail station code for East Kilbride railway station in South Lanarkshire, Scotland.
  • D. NLK
    NLK is the National Library of Korea, the country’s central repository for published materials and a key institution for preserving and providing access to Korea’s documentary heritage.
  • E. VNLK
    VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae834908190aecb825db1d705ff completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6eb9ff2a881908004cc060b892f48 completed May 3, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec67be70819087d6c49a85d163bc completed May 3, 2026, 6:34 a.m.
Created at: April 9, 2026, 9:10 p.m.