Triple

T16329727
Position Surface form Disambiguated ID Type / Status
Subject KGHM Polska Miedź E396517 entity
Predicate tickerSymbol P1447 FINISHED
Object KGH
KGH is the stock ticker symbol for KGHM Polska Miedź, a major Polish mining and metals company known primarily for copper and silver production.
E1206562 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: KGH | Statement: [KGHM Polska Miedź, tickerSymbol, KGH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KGH
Context triple: [KGHM Polska Miedź, tickerSymbol, KGH]
  • A. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • B. KSGH
    KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • C. KGV
    KGV is the station code for Kingsgrove railway station on Sydney’s suburban rail network in New South Wales, Australia.
  • D. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • E. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • 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: KGH
Triple: [KGHM Polska Miedź, tickerSymbol, KGH]
Generated description
KGH is the stock ticker symbol for KGHM Polska Miedź, a major Polish mining and metals company known primarily for copper and silver production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KGH
Target entity description: KGH is the stock ticker symbol for KGHM Polska Miedź, a major Polish mining and metals company known primarily for copper and silver production.
  • A. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • B. KSGH
    KSGH is the ICAO airport code for Springfield–Beckley Municipal Airport in Springfield, Ohio, United States.
  • C. KGV
    KGV is the station code for Kingsgrove railway station on Sydney’s suburban rail network in New South Wales, Australia.
  • D. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • E. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4debef08190a64f13214bfa098f completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261134108190812da262b424a476 completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0026c9b5c481908f60d2ebfb3f71d7 completed May 10, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00273dd8fc8190b84b8a96442781ee completed May 10, 2026, 6:35 a.m.
Created at: April 10, 2026, 5:07 a.m.