Triple

T9976701
Position Surface form Disambiguated ID Type / Status
Subject Juneyao Air E196348 entity
Predicate IATACode P418 FINISHED
Object HO
HO is the IATA airline designator assigned to Juneyao Air, a Chinese carrier based in Shanghai.
 E832749 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: HO | Statement: [Juneyao Air, IATACode, HO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HO
Context triple: [Juneyao Air, IATACode, HO]
  • A. HO
    HO is the vehicle registration code used on license plates for the city and district of Hof in Upper Franconia, Germany.
  • B. HO
    HO is the stock ticker symbol for Thales Group, a major French multinational company specializing in aerospace, defense, security, and transportation technologies.
  • C. Ho
    Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
  • D. Ho
    Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
  • E. Ho
    Ho is a common East Asian surname used in various cultures, including Chinese and Korean, often representing different characters and lineages depending on the language and region.
  • 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: HO
Triple: [Juneyao Air, IATACode, HO]
Generated description
HO is the IATA airline designator assigned to Juneyao Air, a Chinese carrier based in Shanghai.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HO
Target entity description: HO is the IATA airline designator assigned to Juneyao Air, a Chinese carrier based in Shanghai.
  • A. HO
    HO is the vehicle registration code used on license plates for the city and district of Hof in Upper Franconia, Germany.
  • B. HO
    HO is the stock ticker symbol for Thales Group, a major French multinational company specializing in aerospace, defense, security, and transportation technologies.
  • C. Ho
    Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
  • D. Ho
    Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
  • E. Ho
    Ho is a common East Asian surname used in various cultures, including Chinese and Korean, often representing different characters and lineages depending on the language and region.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84d0d3c8190b268582bb79c8973 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23de601f0819096004bf60ffa2d2c completed April 5, 2026, 10:48 a.m.
NEDg Description generation batch_69d241e666a0819087061bf8af397131 completed April 5, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69d24283caa481908d794ea2cd4f9db3 completed April 5, 2026, 11:07 a.m.
Created at: March 30, 2026, 8:48 p.m.