Triple

T9590217
Position Surface form Disambiguated ID Type / Status
Subject Korea Exchange E231396 entity
Predicate index P1393 FINISHED
Object KRX 100
KRX 100 is a major South Korean stock market index that tracks the performance of 100 representative companies listed on the Korea Exchange.
 E808108 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: KRX 100 | Statement: [Korea Exchange, index, KRX 100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KRX 100
Context triple: [Korea Exchange, index, KRX 100]
  • A. K-10
    K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
  • B. KR-48
    KR-48 is the ISO 3166-2 subdivision code assigned to South Korea’s South Gyeongsang Province, which includes the city of Miryang.
  • C. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • D. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • E. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • 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: KRX 100
Triple: [Korea Exchange, index, KRX 100]
Generated description
KRX 100 is a major South Korean stock market index that tracks the performance of 100 representative companies listed on the Korea Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KRX 100
Target entity description: KRX 100 is a major South Korean stock market index that tracks the performance of 100 representative companies listed on the Korea Exchange.
  • A. K-10
    K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
  • B. KR-48
    KR-48 is the ISO 3166-2 subdivision code assigned to South Korea’s South Gyeongsang Province, which includes the city of Miryang.
  • C. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • D. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • E. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99f32e688190bb13bccfa5031f16 completed April 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161880adc819090a9be75ba2a1642 completed April 4, 2026, 7:07 p.m.
NEDg Description generation batch_69d161d569b88190a3d77bbe752e0c86 completed April 4, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69d162476bf481909a87057e4fd1dc11 completed April 4, 2026, 7:11 p.m.
Created at: March 30, 2026, 8:06 p.m.