Triple

T14948417
Position Surface form Disambiguated ID Type / Status
Subject Air Do E372727 entity
Predicate IATAcode P418 FINISHED
Object HD
HD is the IATA airline designator assigned to Air Do, a Japanese regional airline based in Hokkaido.
E1128457 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: HD | Statement: [Air Do, IATAcode, HD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HD
Context triple: [Air Do, IATAcode, HD]
  • A. HD
    HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
  • B. HD
    HD is the vehicle registration code used for the German city of Heidelberg.
  • C. HD
    HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
  • D. HD
    HD is an inherited neurodegenerative disorder characterized by progressive motor dysfunction, cognitive decline, and psychiatric symptoms caused by a CAG repeat expansion in the huntingtin gene.
  • E. HD
    HD is a postcode area in the United Kingdom covering Huddersfield and its surrounding districts in West Yorkshire.
  • 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: HD
Triple: [Air Do, IATAcode, HD]
Generated description
HD is the IATA airline designator assigned to Air Do, a Japanese regional airline based in Hokkaido.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HD
Target entity description: HD is the IATA airline designator assigned to Air Do, a Japanese regional airline based in Hokkaido.
  • A. HD
    HD is the vehicle registration code used for the German city of Heidelberg.
  • B. HD
    HD is the vehicle registration code used on license plates for vehicles registered in Hunedoara County, Romania.
  • C. HD
    HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
  • D. HD
    HD is the abbreviation for the Croatian Home Guard, a World War II-era military formation associated with the Independent State of Croatia.
  • E. HD
    HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68e35c481908e47cd68441c5115 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e986dfc8190a5cf363dabe6bdef completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe82845b788190b1d7af425aa354d4 completed May 9, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_69fe832a4228819085ebb93e9fed00be completed May 9, 2026, 12:43 a.m.
Created at: April 10, 2026, 2:39 a.m.