Triple

T12992974
Position Surface form Disambiguated ID Type / Status
Subject Nepalgunj E321961 entity
Predicate airportICAOcode P419 FINISHED
Object VNNG
VNNG is the ICAO airport code for Nepalgunj Airport in Nepal, a regional hub serving the city of Nepalgunj and surrounding areas.
E1013290 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: VNNG | Statement: [Nepalgunj, airportICAOcode, VNNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VNNG
Context triple: [Nepalgunj, airportICAOcode, VNNG]
  • A. VNG
    VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
  • B. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • C. VN
    VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
  • D. 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.
  • E. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • 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: VNNG
Triple: [Nepalgunj, airportICAOcode, VNNG]
Generated description
VNNG is the ICAO airport code for Nepalgunj Airport in Nepal, a regional hub serving the city of Nepalgunj and surrounding areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VNNG
Target entity description: VNNG is the ICAO airport code for Nepalgunj Airport in Nepal, a regional hub serving the city of Nepalgunj and surrounding areas.
  • A. VNG
    VNG is the Dutch national association that represents and supports the interests of municipalities in the Netherlands.
  • B. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • C. VN
    VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
  • D. 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.
  • E. VNU
    VNU is a leading public research university system in Vietnam, headquartered in Hanoi and known for its comprehensive programs and high academic standards.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fd5f44819087df1163b8f703ec completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dcd5cc8190bff5bd153c007866 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb337b708190a874cec01d588236 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 8:44 p.m.