Triple

T6646773
Position Surface form Disambiguated ID Type / Status
Subject SSG Landers E150719 entity
Predicate notableSponsor P1807 FINISHED
Object SSG.com E609549 NE FINISHED

How this triple was built (2 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: SSG.com | Statement: [SSG Landers, notableSponsor, SSG.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSG.com
Context triple: [SSG Landers, notableSponsor, SSG.com]
  • A. SSG.com chosen
    SSG.com is a South Korean e-commerce platform operated by Shinsegae Group, offering a wide range of online retail services including groceries, fashion, and household goods.
  • B. SSG
    SSG is the abbreviated name of the SSG Landers, a professional baseball team in South Korea’s KBO League.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SS (Sareen Sports)
    SS (Sareen Sports) is a prominent Indian sports equipment manufacturer best known for its high-quality cricket bats and gear used by many professional players worldwide.
  • E. SSB
    SSB is the national statistical institute of Norway responsible for collecting, analyzing, and publishing official statistics about Norwegian society and the economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01cecc48190a6d2c26d8d5ab80c completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7944bdc81909ea991062dce619d completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2 p.m.