Triple

T6721362
Position Surface form Disambiguated ID Type / Status
Subject Cat Bi International Airport E153402 entity
Predicate formerICAOcode P18649 FINISHED
Object VVCX
VVCX is a former ICAO airport code that was once assigned to Cat Bi International Airport in Hai Phong, Vietnam.
E612788 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: VVCX | Statement: [Cat Bi International Airport, formerICAOcode, VVCX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VVCX
Context triple: [Cat Bi International Airport, formerICAOcode, VVCX]
  • A. VCC
    VCC is the commonly used abbreviation for the Vieux Carré Commission, the historic preservation agency responsible for protecting the French Quarter in New Orleans.
  • B. VVCT
    VVCT is the ICAO airport code assigned to Can Tho International Airport in Vietnam.
  • C. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • D. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • E. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • 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: VVCX
Triple: [Cat Bi International Airport, formerICAOcode, VVCX]
Generated description
VVCX is a former ICAO airport code that was once assigned to Cat Bi International Airport in Hai Phong, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VVCX
Target entity description: VVCX is a former ICAO airport code that was once assigned to Cat Bi International Airport in Hai Phong, Vietnam.
  • A. VCC
    VCC is the commonly used abbreviation for the Vieux Carré Commission, the historic preservation agency responsible for protecting the French Quarter in New Orleans.
  • B. VVCT
    VVCT is the ICAO airport code assigned to Can Tho International Airport in Vietnam.
  • C. VCK
    VCK is a Tamil Nadu–based political party in India known for its advocacy of Dalit rights and social justice.
  • D. VV
    VV is the common abbreviation for VistaVision, a high-resolution widescreen 35mm motion picture film format developed by Paramount Pictures in the 1950s.
  • E. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d13861a08190ad19a16dcd76c908 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a14ebc819092cc40f522540f1a completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c7023cc3d08190810fc8482326e7b9 completed March 27, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c703d67ff481908476b97fee97959a completed March 27, 2026, 10:25 p.m.
Created at: March 27, 2026, 2:07 p.m.