Triple

T5413523
Position Surface form Disambiguated ID Type / Status
Subject SG (Sanspareils Greenlands) E121067 entity
Predicate brandName P1500 FINISHED
Object SG
SG (Sanspareils Greenlands) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket gear, including bats, balls, and protective equipment.
 E519159 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: SG | Statement: [SG (Sanspareils Greenlands), brandName, SG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SG
Context triple: [SG (Sanspareils Greenlands), brandName, SG]
  • A. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • B. SG
    SG is the vehicle registration code used on license plates for Spain’s Segovia Province.
  • C. SG
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • D. SG
    SG is the IATA airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • E. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • 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: SG
Triple: [SG (Sanspareils Greenlands), brandName, SG]
Generated description
SG (Sanspareils Greenlands) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket gear, including bats, balls, and protective equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SG
Target entity description: SG (Sanspareils Greenlands) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket gear, including bats, balls, and protective equipment.
  • A. SG
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • B. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • C. SG
    SG is the IATA airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • D. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • E. SG
    SG is the vehicle registration code used on license plates for Spain’s Segovia Province.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bb3c0c81908711784bc865ff03 completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa3e1988190ac484c91022dc08b completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3c633640819089cbd2985a1f6479 completed March 22, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69bf3cb3432c8190ab0e59843144fc75 completed March 22, 2026, 12:49 a.m.
Created at: March 20, 2026, 2:05 p.m.