Triple

T10617032
Position Surface form Disambiguated ID Type / Status
Subject Hector International Airport E276146 entity
Predicate ICAOcode P419 FINISHED
Object KFAR
KFAR is the ICAO airport code for Hector International Airport, a public airport serving Fargo, North Dakota, in the United States.
 E876082 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: KFAR | Statement: [Hector International Airport, ICAOcode, KFAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KFAR
Context triple: [Hector International Airport, ICAOcode, KFAR]
  • A. KAF
    KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
  • B. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • C. KAR
    KAR is the commonly used abbreviation for the King's African Rifles, a former multi-battalion British colonial regiment recruited from East Africa.
  • D. KAR
    KAR is the ICAO airline designator assigned to the Russian regional carrier Pegas Fly.
  • E. Kfarhata
    Kfarhata is a village located in the Koura District of northern Lebanon, known for its agricultural character and traditional rural setting.
  • 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: KFAR
Triple: [Hector International Airport, ICAOcode, KFAR]
Generated description
KFAR is the ICAO airport code for Hector International Airport, a public airport serving Fargo, North Dakota, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KFAR
Target entity description: KFAR is the ICAO airport code for Hector International Airport, a public airport serving Fargo, North Dakota, in the United States.
  • A. KAF
    KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
  • B. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • C. KAR
    KAR is the commonly used abbreviation for the King's African Rifles, a former multi-battalion British colonial regiment recruited from East Africa.
  • D. KAR
    KAR is the ICAO airline designator assigned to the Russian regional carrier Pegas Fly.
  • E. Kfarhata
    Kfarhata is a village located in the Koura District of northern Lebanon, known for its agricultural character and traditional rural setting.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6e2df4819099a19b59d90d0dd1 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b7bb7108190b0f1cbe4117abec0 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96dee84f48190bf5b0cb1115a8bba completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d9708824208190acf75933962d690f completed April 10, 2026, 9:50 p.m.
Created at: April 8, 2026, 7:33 p.m.