Triple

T181129
Position Surface form Disambiguated ID Type / Status
Subject TeamViewer E3877 entity
Predicate tickerSymbol P1447 FINISHED
Object TMV
TMV is the stock ticker symbol under which TeamViewer, a global provider of remote connectivity and remote access software, is traded on financial markets.
 E22674 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: TMV | Statement: [TeamViewer, tickerSymbol, TMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMV
Context triple: [TeamViewer, tickerSymbol, TMV]
  • A. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • B. Kimvita
    Kimvita is a major coastal dialect of Swahili spoken primarily in and around Mombasa, Kenya.
  • C. Colwell
    Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
  • D. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • E. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • 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: TMV
Triple: [TeamViewer, tickerSymbol, TMV]
Generated description
TMV is the stock ticker symbol under which TeamViewer, a global provider of remote connectivity and remote access software, is traded on financial markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMV
Target entity description: TMV is the stock ticker symbol under which TeamViewer, a global provider of remote connectivity and remote access software, is traded on financial markets.
  • A. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • B. Kimvita
    Kimvita is a major coastal dialect of Swahili spoken primarily in and around Mombasa, Kenya.
  • C. Colwell
    Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
  • D. TNT
    TNT is an American cable television network known for airing sports, movies, and original drama programming.
  • E. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25923507c8190bd7f6eda404b0da0 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2f0b71080819086362f6036b41162 completed Feb. 28, 2026, 1:42 p.m.
NEDg Description generation batch_69a2f12f181c8190bae3098a2928feff completed Feb. 28, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_69a2f3771fcc8190b8486be33f695524 completed Feb. 28, 2026, 1:53 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.