Triple

T10209016
Position Surface form Disambiguated ID Type / Status
Subject Siemens Healthineers E242278 entity
Predicate tickerSymbol P1447 FINISHED
Object SHL
SHL is the stock ticker symbol for Siemens Healthineers, a major global medical technology and healthcare solutions company.
E849514 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: SHL | Statement: [Siemens Healthineers, tickerSymbol, SHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SHL
Context triple: [Siemens Healthineers, tickerSymbol, SHL]
  • A. SHL
    SHL is Sweden's top professional ice hockey league, featuring the country's highest-level clubs and serving as a premier European hockey competition.
  • B. SHL
    SHL is the station code for Swan Hill railway station in Victoria, Australia, a regional terminus on the Swan Hill line.
  • C. SHEL
    SHEL is the stock ticker symbol for Shell plc, a major multinational oil and gas company headquartered in the United Kingdom.
  • D. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • E. Towers Watson
    Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
  • 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: SHL
Triple: [Siemens Healthineers, tickerSymbol, SHL]
Generated description
SHL is the stock ticker symbol for Siemens Healthineers, a major global medical technology and healthcare solutions company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SHL
Target entity description: SHL is the stock ticker symbol for Siemens Healthineers, a major global medical technology and healthcare solutions company.
  • A. SHL
    SHL is Sweden's top professional ice hockey league, featuring the country's highest-level clubs and serving as a premier European hockey competition.
  • B. SHL
    SHL is the station code for Swan Hill railway station in Victoria, Australia, a regional terminus on the Swan Hill line.
  • C. SHEL
    SHEL is the stock ticker symbol for Shell plc, a major multinational oil and gas company headquartered in the United Kingdom.
  • D. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • E. Towers Watson
    Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d395fa86cc8190b4f115b5a0f99772 completed April 6, 2026, 11:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652cca9c081909f705365c70db009 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d654ddaed88190bcd7f1a2ee9dd462 completed April 8, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69d655338cc08190ba00163f0afa4c3b completed April 8, 2026, 1:16 p.m.
Created at: April 6, 2026, 10:59 a.m.