Triple

T3521323
Position Surface form Disambiguated ID Type / Status
Subject Kmart Corporation E74427 entity
Predicate tickerSymbol P1447 FINISHED
Object KM
KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
 E364277 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: KM | Statement: [Kmart Corporation, tickerSymbol, KM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KM
Context triple: [Kmart Corporation, tickerSymbol, KM]
  • A. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • B. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • C. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • D. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • E. Ki
    Ki is the Sumerian earth goddess and primordial mother figure in Mesopotamian mythology, often paired with the sky god Anu in creation traditions.
  • 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: KM
Triple: [Kmart Corporation, tickerSymbol, KM]
Generated description
KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KM
Target entity description: KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
  • A. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • B. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • C. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • D. Ka
    Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
  • E. Ki
    Ki is the Sumerian earth goddess and primordial mother figure in Mesopotamian mythology, often paired with the sky god Anu in creation traditions.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4c6ac8819096e9c773f3cccbfb completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e87c7948190901d98f34e3987eb completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f13d5e881908eaa05b11e493e8b completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f703ff081908a9aa3588da52d76 completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.