Triple

T4006900
Position Surface form Disambiguated ID Type / Status
Subject Kuching International Airport E89546 entity
Predicate ICAOcode P419 FINISHED
Object WBGG
WBGG is the ICAO airport code for Kuching International Airport, a major aviation hub serving the city of Kuching in Sarawak, Malaysia.
E406512 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: WBGG | Statement: [Kuching International Airport, ICAOcode, WBGG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WBGG
Context triple: [Kuching International Airport, ICAOcode, WBGG]
  • A. WBZZ
    WBZZ is a Pittsburgh-area radio station best known for its contemporary hit music format and branding as "100.7 Star."
  • B. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • C. WOGX
    WOGX is a television station in the United States that serves as a Fox network affiliate.
  • D. WRBW
    WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
  • E. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • 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: WBGG
Triple: [Kuching International Airport, ICAOcode, WBGG]
Generated description
WBGG is the ICAO airport code for Kuching International Airport, a major aviation hub serving the city of Kuching in Sarawak, Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WBGG
Target entity description: WBGG is the ICAO airport code for Kuching International Airport, a major aviation hub serving the city of Kuching in Sarawak, Malaysia.
  • A. WBZZ
    WBZZ is a Pittsburgh-area radio station best known for its contemporary hit music format and branding as "100.7 Star."
  • B. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • C. WOGX
    WOGX is a television station in the United States that serves as a Fox network affiliate.
  • D. WRBW
    WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network programming.
  • E. WQHT
    WQHT is a New York City-based hip hop radio station, widely known by its brand name Hot 97.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa62d0e081909aaed2978a840734 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c67eddc819097eff878c860f3d5 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d1898d48190b717a17ad366918d completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54de8dc708190b83978b15aed2e13 completed March 14, 2026, noon
Created at: March 9, 2026, 3:34 p.m.