Triple

T8318066
Position Surface form Disambiguated ID Type / Status
Subject Travelers E194754 entity
Predicate tickerSymbol P1447 FINISHED
Object TRV E194753 NE FINISHED

How this triple was built (2 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: TRV | Statement: [Travelers, tickerSymbol, TRV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRV
Context triple: [Travelers, tickerSymbol, TRV]
  • A. TRV chosen
    TRV is the stock ticker symbol for The Travelers Companies, a major U.S.-based insurance provider known for its property and casualty insurance products.
  • B. TRVG
    TRVG is the stock ticker symbol for trivago N.V., a German-based global hotel and accommodation metasearch platform listed on the NASDAQ.
  • C. Trave
    The Trave is a river in northern Germany that flows through the state of Schleswig-Holstein to the Baltic Sea, notably passing through the city of Lübeck.
  • D. TRZ
    TRZ is the IATA airport code for Tiruchirappalli International Airport, a major air gateway serving the city of Tiruchirappalli in the Indian state of Tamil Nadu.
  • E. RTR
    RTR is a Swiss public broadcasting division that produces and distributes radio, television, and online content in the Romansh language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f630ea881909fb639383e60aee9 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6f629a0819081635763192903d8 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:55 p.m.