Triple

T2196943
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Sharks E50396 entity
Predicate abbreviation P43 FINISHED
Object SHS
SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
 E243545 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: SHS | Statement: [Shanghai Sharks, abbreviation, SHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SHS
Context triple: [Shanghai Sharks, abbreviation, SHS]
  • A. SHS
    SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
  • B. HS
    HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • C. SVHS
    SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
  • D. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • E. 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.
  • 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: SHS
Triple: [Shanghai Sharks, abbreviation, SHS]
Generated description
SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SHS
Target entity description: SHS is the commonly used abbreviation for the Shanghai Sharks, a professional basketball team based in Shanghai, China.
  • A. SHS
    SHS is the abbreviation commonly used for the Florida State Highway System, the network of state-maintained roads in Florida.
  • B. HS
    HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • C. SVHS
    SVHS is a public high school in French Lick, Indiana, serving students in the Springs Valley School Corporation.
  • D. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • E. 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.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db7af9881908348ce1ad35f247a completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae61901ae481908b03844aa300cc33 completed March 9, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69ae620812848190814c4c614e8834d1 completed March 9, 2026, 6 a.m.
Created at: March 4, 2026, 7:46 p.m.