Triple

T23407077
Position Surface form Disambiguated ID Type / Status
Subject Hengchun Airport E559962 entity
Predicate IATAcode P418 FINISHED
Object HCN
HCN is the IATA airport code for Hengchun Airport in Pingtung County, Taiwan.
 E1585181 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: HCN | Statement: [Hengchun Airport, IATAcode, HCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HCN
Context triple: [Hengchun Airport, IATAcode, HCN]
  • A. Cyanide
    "Cyanide" is a soulful R&B song by Canadian singer-songwriter Daniel Caesar, known for its smooth production and introspective lyrics.
  • B. HCH
    HCH is the National Rail station code for Holmes Chapel railway station in Cheshire, England.
  • C. Nitram
    Nitram is a 2021 Australian psychological drama film directed by Justin Kurzel that explores the events leading up to the 1996 Port Arthur massacre.
  • D. Chamical
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • E. Chemmis
    Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • 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: HCN
Triple: [Hengchun Airport, IATAcode, HCN]
Generated description
HCN is the IATA airport code for Hengchun Airport in Pingtung County, Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HCN
Target entity description: HCN is the IATA airport code for Hengchun Airport in Pingtung County, Taiwan.
  • A. Cyanide
    "Cyanide" is a soulful R&B song by Canadian singer-songwriter Daniel Caesar, known for its smooth production and introspective lyrics.
  • B. HCH
    HCH is the National Rail station code for Holmes Chapel railway station in Cheshire, England.
  • C. Nitram
    Nitram is a 2021 Australian psychological drama film directed by Justin Kurzel that explores the events leading up to the 1996 Port Arthur massacre.
  • D. Chamical
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • E. Chemmis
    Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50e607c8190ba0a22e89862a2d9 completed April 29, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67979c288190a5ef21c30ab4791d completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c76af50f48190821440853eee0b5d completed May 19, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0c77328f508190a3ec8c416e979a69 completed May 19, 2026, 2:44 p.m.
Created at: April 17, 2026, 5:38 p.m.