Triple

T6061138
Position Surface form Disambiguated ID Type / Status
Subject Seoul Olympic Stadium E135033 entity
Predicate hasFormerTenants P45212 FINISHED
Object LG Cheetahs
LG Cheetahs was a professional South Korean football club that competed in the K League and later became known as FC Seoul.
 E566380 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: LG Cheetahs | Statement: [Seoul Olympic Stadium, hasFormerTenants, LG Cheetahs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LG Cheetahs
Context triple: [Seoul Olympic Stadium, hasFormerTenants, LG Cheetahs]
  • A. Sunwolves
    The Sunwolves were a professional Japanese rugby union team that competed in the international Super Rugby competition.
  • B. ZSC Lions
    ZSC Lions is a professional ice hockey club from Zürich, Switzerland, known as one of the country’s most successful and prominent teams.
  • C. Samsung Lions
    The Samsung Lions are a professional baseball team based in Daegu, South Korea, competing in the Korea Baseball Organization (KBO) League.
  • D. SCL Tigers
    SCL Tigers is a professional ice hockey club from Langnau im Emmental, Switzerland, competing in the country’s top-tier National League.
  • E. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • 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: LG Cheetahs
Triple: [Seoul Olympic Stadium, hasFormerTenants, LG Cheetahs]
Generated description
LG Cheetahs was a professional South Korean football club that competed in the K League and later became known as FC Seoul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LG Cheetahs
Target entity description: LG Cheetahs was a professional South Korean football club that competed in the K League and later became known as FC Seoul.
  • A. Sunwolves
    The Sunwolves were a professional Japanese rugby union team that competed in the international Super Rugby competition.
  • B. ZSC Lions
    ZSC Lions is a professional ice hockey club from Zürich, Switzerland, known as one of the country’s most successful and prominent teams.
  • C. Samsung Lions
    The Samsung Lions are a professional baseball team based in Daegu, South Korea, competing in the Korea Baseball Organization (KBO) League.
  • D. SCL Tigers
    SCL Tigers is a professional ice hockey club from Langnau im Emmental, Switzerland, competing in the country’s top-tier National League.
  • E. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571fcecc8190a68e0d0668bbbfa7 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d197dd08190bcc6904c7c2e41aa completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:10 p.m.