Triple

T7661708
Position Surface form Disambiguated ID Type / Status
Subject Tribhuvan International Airport E173521 entity
Predicate ICAOcode P419 FINISHED
Object VNKT
VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
E679986 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: VNKT | Statement: [Tribhuvan International Airport, ICAOcode, VNKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VNKT
Context triple: [Tribhuvan International Airport, ICAOcode, VNKT]
  • A. VN
    VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
  • B. VN
    VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
  • C. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • D. NG-KT
    NG-KT is the ISO 3166-2 code that uniquely identifies Katsina State within Nigeria.
  • E. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • 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: VNKT
Triple: [Tribhuvan International Airport, ICAOcode, VNKT]
Generated description
VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VNKT
Target entity description: VNKT is the ICAO airport code for Tribhuvan International Airport, the main international gateway serving Kathmandu, Nepal.
  • A. VN
    VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
  • B. VN
    VN is the ISO 3166-1 alpha-2 country code for Vietnam, a Southeast Asian nation known for its history, diverse landscapes, and rapidly growing economy.
  • C. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • D. NG-KT
    NG-KT is the ISO 3166-2 code that uniquely identifies Katsina State within Nigeria.
  • E. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a6029c819082b467f028d59655 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1aaef081908d1d181ea7c28c2f completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89e177fd08190a6f3a70cf32365d9 completed March 29, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69c89e7328f4819088651b60e7af457d completed March 29, 2026, 3:37 a.m.
Created at: March 27, 2026, 3:59 p.m.