Triple

T3176381
Position Surface form Disambiguated ID Type / Status
Subject Hainan Airlines E66474 entity
Predicate IATAcode P418 FINISHED
Object HU
HU is the IATA airline designator assigned to Hainan Airlines, a major Chinese carrier.
 E334592 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: HU | Statement: [Hainan Airlines, IATAcode, HU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HU
Context triple: [Hainan Airlines, IATAcode, HU]
  • A. HU
    HU is the postcode area covering Kingston upon Hull and its surrounding region in the United Kingdom.
  • B. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • C. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • D. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • E. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • 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: HU
Triple: [Hainan Airlines, IATAcode, HU]
Generated description
HU is the IATA airline designator assigned to Hainan Airlines, a major Chinese carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HU
Target entity description: HU is the IATA airline designator assigned to Hainan Airlines, a major Chinese carrier.
  • A. HU
    HU is the postcode area covering Kingston upon Hull and its surrounding region in the United Kingdom.
  • B. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • C. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • D. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • E. HM
    HM is a prefix used for classes and APIs in Apple's HomeKit framework, which enables communication and control of smart home accessories on iOS and other Apple platforms.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69b0bec8190957913b44d876079 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235f16e60819091cbdb76130ecc40 completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b23699a6fc81908b15c7e23340f476 completed March 12, 2026, 3:44 a.m.
NED2 Entity disambiguation (via description) batch_69b23a51a21c819083a4986e5b3ac63d completed March 12, 2026, 4 a.m.
Created at: March 8, 2026, 3:06 p.m.