Triple

T1858442
Position Surface form Disambiguated ID Type / Status
Subject Harmonized Commodity Description and Coding System E41758 entity
Predicate abbreviation P43 FINISHED
Object HS
HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
 E208817 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: HS | Statement: [Harmonized Commodity Description and Coding System, abbreviation, HS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HS
Context triple: [Harmonized Commodity Description and Coding System, abbreviation, HS]
  • A. SHS
    SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
  • B. HSS
    HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
  • C. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • D. BS
    BS is the vehicle registration code used on license plates for the Swiss canton of Basel-Stadt.
  • E. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • 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: HS
Triple: [Harmonized Commodity Description and Coding System, abbreviation, HS]
Generated description
HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HS
Target entity description: HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • A. SHS
    SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
  • B. HSS
    HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
  • C. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • D. BS
    BS is the vehicle registration code used on license plates for the Swiss canton of Basel-Stadt.
  • E. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb081405881909e4bea94b9813a4b completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1ce296c819093336cbaa257dfd2 completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add229de448190826bbb668c7611a0 completed March 8, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69add29e3c50819098ff87d254c25c45 completed March 8, 2026, 7:48 p.m.
Created at: March 4, 2026, 7:33 p.m.