Triple

T4850429
Position Surface form Disambiguated ID Type / Status
Subject Lonza Group AG E108400 entity
Predicate tickerSymbol P1447 FINISHED
Object LONN
LONN is the stock ticker symbol for Lonza Group AG, a Swiss multinational company specializing in pharmaceutical, biotechnology, and nutrition products and services.
 E474938 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: LONN | Statement: [Lonza Group AG, tickerSymbol, LONN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LONN
Context triple: [Lonza Group AG, tickerSymbol, LONN]
  • A. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • B. Lenno
    Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
  • C. Lennard
    Lennard is a given name, typically a variant of Leonard, used as a masculine first name in various European countries.
  • D. Loin
    Loin is a French film featuring actress Rachida Brakni in a notable role.
  • E. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • 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: LONN
Triple: [Lonza Group AG, tickerSymbol, LONN]
Generated description
LONN is the stock ticker symbol for Lonza Group AG, a Swiss multinational company specializing in pharmaceutical, biotechnology, and nutrition products and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LONN
Target entity description: LONN is the stock ticker symbol for Lonza Group AG, a Swiss multinational company specializing in pharmaceutical, biotechnology, and nutrition products and services.
  • A. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • B. Lenno
    Lenno is a picturesque village on the western shore of Lake Como in northern Italy, known for its scenic waterfront and historic villas.
  • C. Lennard
    Lennard is a given name, typically a variant of Leonard, used as a masculine first name in various European countries.
  • D. Loin
    Loin is a French film featuring actress Rachida Brakni in a notable role.
  • E. Lontzen
    Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1e5cf08190bd6b6a524748f170 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cdefda8819095fbc04446bf32f5 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5dadcec88190bf9a272c4a9aef9a completed March 21, 2026, 8:58 a.m.
NED2 Entity disambiguation (via description) batch_69be6159ff7c8190baa116240f76dea5 completed March 21, 2026, 9:14 a.m.
Created at: March 20, 2026, 1:25 p.m.